{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"0003f63a-b2b2-44e0-b588-7a3de39a2516","company_id":"28040a6c-6f94-41a4-b15a-f2e4520188ff","title":"Agent Experience Designer, Agentic Voice","slug":"agent-experience-designer-agentic-voice-00a4cb3f","description":"About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. \n More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. \n We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. \n Visit dialpad.com to learn more. \n Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. \n We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. \n We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . \n Your role As an Agent Experience Designer — Agentic Voice, you’ll own the voices, personalities, and interactions that make an AI agent feel intuitive, empathetic, and human. We are going all-in on agentic AI under one core idea: stop answering, start resolving. A voice agent that resolves is only as good as the experience it delivers, and designing that entire voice experience is your job. \n Reporting directly to the VP of AI Products, you’ll collaborate hand-in-hand with our AI engineers to shape model judgment through prompts and flow orchestration, rather than hard-coded branches. You’ll also help create a centralized persona system, voice standards, and the universal quality bar that forward-deployed VX designers will apply account-by-account in the field. \n In addition, you’ll help bring a deep sense of behavioral and emotional design to our platform, ensuring our agents have the taste, pacing, and vocabulary to sound truly competent and empathetic across both happy paths and high-stakes moments. \n This position has the opportunity to be based in our San Ramon, US office.\n What you’ll do \n \n Own the agent's global voice, character, and personality, maintaining personal consistency across every vertical we ship. \n Own the standard handoff patterns and design systems, ensuring seamless transitions where context is fully preserved when an agent passes a caller to a human. \n Own the universal platform quality bar, defining and measuring Consistency, Fluency, and Latency (CFL) and tying personal decisions directly to core metrics like resolution, containment, and sentiment. \n Make the voice palette and establish house standards for pacing, prosody, and emphasis that forward-deployed teams will use to build brand-specific experiences. \n Partner with AI engineers to orchestrate behavior, escalation instincts, confirmation patterns, and graceful recovery workflows using advanced prompting rather than rigid dialogue trees. \n Research and design for distinct behavioral and emotional user states, ensuring the agent adapts seamlessly whether interacting with a patient disputing a bill or a dispatcher tracing a late delivery. \n \n Skills you’ll bring \n \n Experience: 5+ years of dedicated experience shaping voice user interfaces (VUI), character writing, conversation design, or complex conversational/agentic systems. \n Bachelor's degree in Linguistics, Communication, Psychology, Design, or equivalent practical experience. \n Demonstrated experience shaping voice user interfaces (VUI), character writing, or complex conversational/agentic systems. \n Fluency with LLM-based agent behaviors, prompt engineering, and prompt orchestration (knowing how design choices alter model outputs without relying on code). \n Fluency with Text-to-Speech (TTS) controls, including voice selection, SSML tuning, pacing, and emphasis to set broad platform standards. \n An exceptional portfolio that highlights voice systems, written persona standards, and interactive logic rather than just static flow diagrams. \n Experience in regulated, high-stakes verticals (e.g., healthcare, financial services, legal) is a strong plus. \n Strong taste and an ear for dialogue—the ability to articulate a character on a page and translate it into consistent AI behavior under pressure. \n \n For exceptional talent based in California, the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting","salary_min":147000,"salary_max":186000,"location":"San Ramon, US","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","llm","speech","agents"],"apply_url":"https://job-boards.greenhouse.io/dialpad/jobs/8633475002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:04:06Z","expires_at":"2026-08-15T14:21:23.485581Z","created_at":"2026-07-15T14:23:00.567276Z","updated_at":"2026-07-16T14:21:23.608506Z","company_name":"Dialpad","company_slug":"dialpad","company_logo_url":"https://www.google.com/s2/favicons?domain=dialpad.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0003f63a-b2b2-44e0-b588-7a3de39a2516"},{"id":"dbf3ed2d-61a8-46d4-8f99-13cd04d28f0e","company_id":"4c109027-78ec-41cd-b57a-dc58e47d0bd0","title":"Senior Machine Learning Scientist I, Model-Driven Optimization","slug":"senior-machine-learning-scientist-i-model-driven-optimization-eb80e6bd","description":"The Role:  \n Generate:Biomedicines is seeking a creative, rigorous, and execution-oriented machine learning scientist to join our Model-Driven Design team. This role will focus on building the ML methods, data strategies, and closed-loop systems that determine what we design, build, test, and learn from next.\n The Model-Driven Design team works at the interface of machine learning, protein design, engineering, and experimental science. We develop and apply models and quantitative frameworks that help Generate discover and optimize therapeutic proteins. In this role, you will help advance the technical foundation of our lab-in-the-loop protein optimization platform, with a focus on sequential decision-making, experimental design, property modeling, and scalable design systems.\n We are looking for someone who can serve as a technical leader and hands-on individual contributor, driving complex, high-impact work from problem framing through implementation, deployment, and experimental impact. The ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn technical ideas into reliable systems that drive impact. You will partner closely with protein designers, wet-lab scientists, ML scientists, and engineers to build durable capabilities that accelerate therapeutic discovery.\n This role is part of a highly collaborative team environment that balances in-person collaboration with hybrid flexibility based out of our Somerville, MA office. \n Here's how you will contribute: \n \n Develop new machine learning methods and systems for lab-in-the-loop protein optimization, including property models and multi-objective optimization strategies for therapeutic protein design.\n Shape data-generation and data-use strategies that make experimental campaigns maximally informative for model improvement, therapeutic optimization, and future design cycles.\n Build and apply LLM-enabled and agentic workflows that help scientists explore design hypotheses, connect models to data and experiments, and accelerate iterative learning.\n Design, implement, test, and maintain production-quality ML models, software components, and data workflows, with attention to reliability, reproducibility, observability, and computational efficiency.\n Partner with ML engineering and software teams to integrate these components into robust, scalable platform capabilities, with clear ownership across team boundaries.\n Collaborate closely with protein designers and wet-lab scientists to ensure models and optimization systems are grounded in experimental reality and deliver measurable impact.\n Identify important technical gaps, develop proposals, define milestones, align stakeholders, and help set technical direction across cross-functional programs.\n Communicate clearly across disciplines and help raise technical standards across ML, engineering, protein design, and experimental teams.\n \n The Ideal Candidate will have: \n \n PhD in machine learning, computational biology, computer science, applied mathematics, engineering, or a related quantitative field.\n Strong practical experience with probabilistic machine learning, Bayesian optimization, active learning, experimental design, or related approaches for sequential decision-making under uncertainty.\n Experience developing machine learning methods or systems for biological, biomedical, or experimental scientific data, with an ability to reason about noisy assays, sparse labels, experimental bias, and data-generation strategy.\n Demonstrated ability to translate ML ideas into systems, tools, or workflows that affect real scientific, experimental, or product decisions.\n Strong Python skills and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.\n Strong systems thinking and ability to design technical interfaces, reason about system tradeoffs, and partner with engineering teams to build scalable, maintainable ML infrastructure.\n Excellent communication skills and ability to bridge ML, engineering, protein design, and experimental stakeholders.\n Pragmatic, collaborative working style, with the ability to bring structure to open-ended problems and balance scientific rigor with execution in fast-moving, cross-functional environments.\n \n Nice to have \n \n Experience in protein design, protein engineering, antibody engineering, biologics discovery, or drug development.\n Experience partnering with experimental teams on design-build-test-learn cycles, high-throughput screening, directed evolution, pooled libraries, or model-guided experimental campaigns.\n Experience with multi-objective optimization, uncertainty calibration, model-guided library design, or experimental campaign planning.\n Experience developing and applying deep learning models, including transformer-based architectures\n Experience building or applying LLM agents, scientific copilots, or agentic syste","salary_min":192000,"salary_max":265000,"location":"Somerville, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","pytorch","healthcare","deep-learning","code-generation","machine-learning"],"apply_url":"https://generatebiomedicines.com/open-positions?gh_jid=4696856006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T19:16:51Z","expires_at":"2026-08-15T14:14:34.598877Z","created_at":"2026-07-15T14:15:56.439634Z","updated_at":"2026-07-16T14:14:34.720622Z","company_name":"Generate Biomedicines","company_slug":"generate-biomedicines","company_logo_url":"https://www.google.com/s2/favicons?domain=generatebiomedicines.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dbf3ed2d-61a8-46d4-8f99-13cd04d28f0e"},{"id":"e6cf414e-5202-4a66-9735-43bcbeb83352","company_id":"72014eb6-e84d-48c2-af5c-5424ebec0b3c","title":"Senior Machine Learning Engineer, Ads Content Understanding","slug":"senior-machine-learning-engineer-ads-content-understanding-06e45727","description":"Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .\n Reddit has a flexible workforce!  If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.\n Ads Content Understanding (ACU) owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for:\n \n The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources).\n Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics.\n Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations.\n Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs.\n Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. \n \n We are looking for a Senior Machine Learning Engineer (IC4) who will act as a key contributor to the Content Understanding roadmap for the Monetization org.\n This is not a research scientist or pure DS role; success is defined by robust, shipped systems and monetization impact.  The ideal candidate is a pragmatic engineer with strong software engineering fundamentals and solid ML intuition—not a pure research scientist. This is an Applied MLE role, requiring someone who can evaluate when to leverage hosted LLMs versus custom models, help scale content understanding to new modalities (e.g., video), and drive practical ML solutions that deliver business impact. \n Responsibilities: \n \n Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production.\n Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting the team’s modeling and systems craft.\n Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. \n Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost)\n Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q\u0026A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products.\n Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models.\n \n Required Qualifications: \n \n 5+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads. \n Demonstrated Senior-level technical leadership: has contributed to architecture decisions, standards, and design reviews in their immediate team\n Strong communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization. \n Some experience building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements). Experience with commercial or intent modeling is a strong plus.\n \n Preferred Qualifications: \n \n Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs.\n Significant experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one staticall","salary_min":216700,"salary_max":303400,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["healthcare","pytorch","llm","tensorflow","nlp","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/reddit/jobs/8008648","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T22:21:59Z","expires_at":"2026-08-15T14:09:28.637905Z","created_at":"2026-07-15T14:10:37.261524Z","updated_at":"2026-07-16T14:09:28.758067Z","company_name":"Reddit","company_slug":"reddit","company_logo_url":"https://www.google.com/s2/favicons?domain=www.reddit.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e6cf414e-5202-4a66-9735-43bcbeb83352"},{"id":"7275bf2f-408c-49d7-b90d-3a9476dd880f","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Product Cybersecurity Engineer","slug":"product-cybersecurity-engineer-168adafd","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n The Product Cybersecurity Engineer is responsible for ensuring security is embedded throughout the product development lifecycle—from architecture and code to deployment and operations. This role integrates security practices into development workflows, manages vulnerabilities in vehicle and autonomous systems, supports compliance with automotive cybersecurity standards, and serves as a cross-functional security expert bridging cybersecurity, hardware, and product engineering teams.\n Essential Responsibilities \n \n Integrate security practices — threat modeling, architecture reviews into product development workflows from requirements through release.\n Provide early security input on hardware, firmware, and software design decisions, including third-party and supply chain risk considerations.\n Write, review, and validate security requirements across hardware and software domains; enforce secure coding standards and perform security analysis on main compute systems.\n Assist with maintaining Software Bill of Materials (SBOM) and Hardware Bill of Materials (HBOM) using dedicated SBOM tooling to ensure component visibility, vulnerability tracking, and supply chain transparency across products.\n Apply security lenses during safety and functional assessments in collaboration with safety, systems, and software teams.\n Assist in proactive vulnerability patching and support secure update strategies using product security tooling for threat modeling and risk profiling.\n Conduct hazard and threat analyses (TARA/HARA) early in the architecture and development lifecycle.\n Analyze and harden the security architecture of vehicle subsystems and autonomous stacks; define system- and product-level security requirements and ensure validation coverage.\n Assist senior level engineers with Ethernet, in-vehicle networking, and cloud interface configuration, including port security and network segmentation.\n Maintain working knowledge of R155/156, ISO 21434 and UL 4600; support internal audits, risk assessments, and compliance documentation.\n Engage with Auto-ISAC to track emerging threats, attack vectors, and industry best practices.\n Work across teams such as cybersecurity, hardware, and product engineering — providing architectural security design feedback.\n Assist with fostering a security-first culture across the organization through integrated best practices and awareness programs.\n Perform additional responsibilities as directed by your manager.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Clear written communication and the ability to align stakeholders on security priorities before executing.\n Excellent attention to detail and a rigorous, systematic approach to security analysis.\n Ability to identify complex security problems across hardware, firmware, and software and devise optimal, innovative solutions that often cross organizational boundaries.\n \n Qualifications and Experience \n Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: \n Required \n \n B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree \n Minimum of [1-3] years of experience in a product cyber security or related role\n Experience performing threat modeling and attack surface analysis \n Experience generating and managing Software Bills of Materials (SBOMs) using industry tooling, with working knowledge of SBOM formats such as SPDX and CycloneDX\n Familiarity with vehicle communication networks and protocols across physical and application layers (CAN, LIN, Ethernet, DBCs), embedded systems interaction, and module security technologies.\n Familiarity with security-relevant services in ISO 14229-1 (UDS)\n Experience in TARA and HARA methodologies; experience applying UNECE WP.29, ISO/SAE 21434, and security standards.\n Ability to clearly communicate findings and collaborate with engineering teams to drive t","salary_min":100000,"salary_max":155000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["security","healthcare","autonomous-vehicles","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8497183002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T19:42:53Z","expires_at":"2026-08-15T14:18:35.028321Z","created_at":"2026-07-15T14:20:05.63743Z","updated_at":"2026-07-16T14:18:35.14635Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7275bf2f-408c-49d7-b90d-3a9476dd880f"},{"id":"e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Director, Autonomy Perception","slug":"director-autonomy-perception-090caf3b","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n The Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May’s core autonomy software stack, ensuring that May’s unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms.\n This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.\n This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.\n Essential Responsibilities \n \n Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.\n Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges.\n Deliver innovative and robust advances to May’s perception technology including measurable improvements to object detection, classification, tracking, and prediction.\n Ensure May’s core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.\n Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction.\n Lead design and specification of next-generation sensor suites to maximize May’s perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems.\n Develop and maintain key performance indicators (KPIs) to track autonomy performance\n Identify key gaps and challenges in May’s autonomy perception technology. \n Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.\n Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term.\n Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.\n Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists.\n Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction.\n A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.\n Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.\n A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.\n An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.\n Proven ability to work with other peers in related","salary_min":220000,"salary_max":300000,"location":"Anywhere, USA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["computer-vision","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631724002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T18:29:13Z","expires_at":"2026-08-15T14:18:33.683401Z","created_at":"2026-07-15T14:20:04.118102Z","updated_at":"2026-07-16T14:18:33.806575Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2"},{"id":"072121d0-4400-4ea7-aba5-a62ac7232f44","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior Integration Test Engineer","slug":"senior-integration-test-engineer-18eb978c","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n Senior Integration Test Engineers serve as key stakeholders in the R\u0026D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving.  \n As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R\u0026D environment. \n Essential Responsibilities \n \n Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware \n Perform bench-level testing of sensors and compute modules \n Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment \n Execute structured test plans covering functional, regression, and fault-injection scenarios \n Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements \n Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking \n Monitor and debug vehicle communications \n Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases. \n Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics \n \n Skills and Abilities \n \n Proven ability to construct and maintain HIL test environments \n Static vehicle-level or chassis dynamometer test experience \n Deep understanding of CAN networks and vehicle communication protocols \n Proficiency with Ethernet protocols (UDP and TCP)  \n Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer) \n Strong command of Linux environments for system configuration, log manipulation, and troubleshooting \n Expertise in Test Case Automation and scripting to reduce manual testing overhead \n Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves \n Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams \n Experience integrating test automation with cloud computing services (AWS) \n \n Qualifications and Experience \n Required \n \n Bachelor's degree in an applicable engineering field \n 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context \n Direct experience with Hardware-in-the-Loop testing and system-level validation \n Valid driver’s license and clear driving record \n \n Desirable \n \n Master’s degree in an applicable engineering field \n Experience testing ADAS vehicles or autonomous robotic systems \n Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration \n Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools \n \n Physical Requirements \n \n Standard office working conditions which includes but is not limited to: \n \n Prolonged sitting \n Prolonged standing \n Prolonged computer use \n \n Travel required? -  Low: 0%-10% \n \n \n \n \n \n \n \n \n Benefits and Perks \n \n Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \n Health Savings and Flexible Spending Healthcare and Dependent Care Account","salary_min":100000,"salary_max":125000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631044002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:56:05Z","expires_at":"2026-08-15T14:18:35.650791Z","created_at":"2026-07-15T14:20:06.277699Z","updated_at":"2026-07-16T14:18:35.768769Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/072121d0-4400-4ea7-aba5-a62ac7232f44"},{"id":"cb44c455-97e8-4e00-ab4f-3fab00fa325f","company_id":"72014eb6-e84d-48c2-af5c-5424ebec0b3c","title":"Staff Machine Learning Engineer","slug":"staff-machine-learning-engineer-586d7131","description":"Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .\n Job Duties: Design, develop, and train advanced machine learning models, including deep neural networks, transformer-based architectures, and reinforcement learning systems, to power large-scale online advertising ranking and optimization platforms. Lead the development and optimization of complex feature representations, including high-dimensional embeddings, contextual and temporal signals, and cross-session user behavior modeling. Drive end-to-end model lifecycle execution, including system architecture design, large-scale experimentation, model deployment, performance monitoring, and iterative infrastructure improvements in production environments. Collaborate closely with product, data, and infrastructure engineering teams to translate business objectives into scalable, statistically rigorous modeling solutions. Conduct advanced experiment design and causal analysis to evaluate model impact and inform strategic decisions. Provide technical leadership and mentorship to machine learning engineers and contribute to organization-wide modeling standards, best practices, and long-term technical strategy. Shape the long-term modeling vision across multiple advertising domains, including conversion optimization, application advertising, shopping, and brand advertising. Full-time telecommuting is an option. \n Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation. \n Special Skill Requirements: 1) Python, Java, and Scala; 2) C++, Go, or Rust; 3) major machine learning frameworks and libraries; 4) applied statistics, hypothesis testing and experiment design for online machine learning systems; 5) large-scale data processing and analytics frameworks; 6) deployment and operation of production systems in containerized and distributed environments; 7) Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models; 8) marketplace dynamics, such as real-time bidding (RTB) or pacing control systems; 9) developing and optimizing online advertising systems, including ad ranking, targeting, and market place; 10) providing technical leadership, mentorship, or guidance to other machine learning engineers. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. \n Benefits: \n \n Comprehensive Healthcare Benefits and Income Replacement Programs\n 401k with Employer Match\n Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\n Family Planning Support\n Gender-Affirming Care\n Mental Health \u0026 Coaching Benefits\n Flexible Vacation \u0026 Paid Volunteer Time Off\n Generous Paid Parental Leave \n \n Submit a resume with references using the apply button on this posting or by email at:  applicationsreview@reddit.com at Req.# 1016.83.2.\n  \n Pay Transparency: \n This job posting may span more than one career level.\n In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit  https://www.redditinc.com/careers/ .\n To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. \n The base pay range for this position is: $230,000.00 - $322,000.00 USD\n  \n #LI-DNI\n In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.\n During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We ","salary_min":230000,"salary_max":322000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","deep-learning","mlops","reinforcement-learning","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/reddit/jobs/8054426","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:51:13Z","expires_at":"2026-08-15T14:09:30.82854Z","created_at":"2026-07-15T14:10:39.537452Z","updated_at":"2026-07-16T14:09:30.952676Z","company_name":"Reddit","company_slug":"reddit","company_logo_url":"https://www.google.com/s2/favicons?domain=www.reddit.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cb44c455-97e8-4e00-ab4f-3fab00fa325f"},{"id":"df926b58-0b03-4baf-bf2e-041b21f1c314","company_id":"12105b3e-eb1d-4a92-95b6-855042facaf1","title":"Principal Product Manager, Core AI Platform","slug":"principal-product-manager-core-ai-platform-a86ff672","description":"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.\n When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.\n Principal Product Manager, Core AI Platform \n Why We Have This Role \n \n Define the future of the core AI infrastructure that powers intelligent experiences across Qualtrics.\n Build the platform capabilities that enable product teams to create trusted, scalable, and differentiated AI experiences using structured and unstructured experience data.\n Own the product strategy for foundational AI capabilities such as ontologies and semantic systems, agent infrastructure, context and memory, tools and orchestration, agent evaluation, observability, and AI safety.\n Manage the entire lifecycle for multiple functional areas of the Core AI Platform, from framing the problem, to aligning on architecture and product direction, to forming the plan, delivering implementation, and iterating until the capabilities are world-class.\n \n How You’ll Find Success \n \n Partner with product, engineering, data science, research, and design teams across Qualtrics to understand the infrastructure and platform capabilities required to build exceptional AI products.\n Develop a deep understanding of the needs of both enterprise customers and internal AI product builders, and translate those needs into platform strategy, requirements, and roadmaps.\n Define product strategy for foundational AI capabilities, including areas such as ontologies and semantic layers, agent runtimes and orchestration, tool use, context engineering, memory, model access, agent evaluation, observability, and guardrails.\n Prioritize platform investments based on customer value, developer productivity, technical leverage, reuse across Qualtrics products, and opportunities for competitive differentiation.\n Collaborate deeply with engineering, AI research, and data science teams to make thoughtful product and architectural tradeoffs in a rapidly evolving technical landscape.\n Develop clear frameworks for evaluating the quality, reliability, safety, and business impact of agentic AI systems.\n Create shared platform capabilities that accelerate AI development across Qualtrics while providing the reliability, governance, security, and observability required by enterprise customers.\n Develop and communicate a compelling vision and roadmap for the Core AI Platform to senior leaders, product teams, technical stakeholders, and customers.\n Define and monitor meaningful KPIs for platform adoption, AI quality, evaluation performance, developer velocity, reliability, and customer impact.\n Stay at the forefront of developments in agents, foundation models, evaluation methods, context engineering, semantic systems, and enterprise AI infrastructure—and translate those developments into concrete product opportunities for Qualtrics.\n \n How You’ll Grow \n \n By shaping the technical and product foundations for the next generation of AI experiences across Qualtrics.\n Through developing deep expertise in emerging areas such as agent architecture, ontologies, semantic systems, evaluation, and AI infrastructure.\n By making high-leverage product decisions that influence multiple product lines and teams.\n Through leading complex, ambiguous initiatives that require alignment across product, engineering, research, data science, security, and go-to-market organizations.\n By developing your ability to connect rapidly evolving AI technologies to durable customer value and differentiated product strategy.\n \n Things You’ll Do \n \n Develop and execute the product strategy for Qualtrics’ Core AI Platform.\n Define the foundational architecture and capabilities required for teams across Qualtrics to build reliable, differentiated AI experiences.\n Lead product strategy for areas including:\n \n Ontologies, semantic layers, and grounding AI systems in the meaning and relationships within enterprise experience data.\n Agent infrastructure, including orchestration, planning, tool use, delegation, and multi-agent patterns.\n Agent evaluati","salary_min":199500,"salary_max":262000,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["healthcare","llm","generative-ai","agents","alignment"],"apply_url":"https://www.qualtrics.com/careers/us/en/job/8055389?gh_jid=8055389","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T19:52:16Z","expires_at":"2026-08-15T14:19:58.418525Z","created_at":"2026-07-12T14:17:18.150005Z","updated_at":"2026-07-16T14:19:58.537426Z","company_name":"Qualtrics","company_slug":"qualtrics","company_logo_url":"https://www.google.com/s2/favicons?domain=qualtrics.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/df926b58-0b03-4baf-bf2e-041b21f1c314"},{"id":"badeb1d6-7048-4b26-8dc7-7015a80bf56b","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer - Python and Data Ecosystem","slug":"senior-software-engineer-python-and-data-ecosystem-9f871560","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.\n Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.\n About the role\n As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.\n We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.\n You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:\n \n Orchestration Platforms: Apache Airflow, Dagster, Prefect\n Transformation Tools: dbt, SQLMesh\n AI \u0026 LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications\n \n ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.\n What you'll do \n \n Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design\n Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards\n Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications\n Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback\n Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities\n Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows\n \n About you \n \n 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer\n Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)\n Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production\n Solid experience with the Python data ecosy","salary_min":157000,"salary_max":232000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","llm","healthcare","data-pipeline","api-design","rag","mlops","embeddings"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/6107514004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T12:23:47Z","expires_at":"2026-08-15T14:15:15.699786Z","created_at":"2026-07-09T14:14:22.744462Z","updated_at":"2026-07-16T14:15:15.821624Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/badeb1d6-7048-4b26-8dc7-7015a80bf56b"},{"id":"a78c1e6e-02a1-4e7c-aa23-10d382bb3863","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Engineering Manager, AI Infrastructure","slug":"senior-engineering-manager-ai-infrastructure-8804a5af","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n We are seeking a Senior Manager, AI Infrastructure to run the day-to-day operation of the systems that power our research. Reporting to the VP of Engineering, you will own the execution and reliability of our high-performance computing (HPC) environment which includes on-prem GPU clusters and the software orchestration layer that schedules workloads across a hybrid cloud environment. This is a hands-on operational leadership role: your mandate is to keep the platform fast, reliable, and well-utilized, and to deliver against the roadmap set with your PM counterpart.\n Our ideal candidate is a:\n \n Systems Expert: You have a deep, hands-on understanding of the Linux kernel, container runtimes, and distributed systems. You understand the performance implications of InfiniBand topologies and NCCL optimizations.\n Execution-Focused Leader: You plan and deliver against near-term operational goals, keep reliability and researcher velocity high, and turn priorities set with leadership into shipped, dependable systems.\n Pragmatic Operator: You are comfortable making trade-offs between technical elegance and operational necessity. You triage and mitigate immediate risks, and know when to handle something yourself versus escalate.\n \n Who We Are:  \n Ai2 is a non-profit research institute at the forefront of open-source AI development. Unlike industry peers, our goal is to share our findings, data, code, and models with the global scientific community. \n Why Ai2: \n \n Open Science: Your work directly enables the release of open models like OLMo, providing the broader research community with tools they can't get elsewhere.\n Mission-Driven: We prioritize scientific impact over profit margins. This allows us to focus on building the \"right\" infrastructure for long-term research goals.\n Complexity at Scale: You will manage some of the most dense and high-performance compute environments currently in operation.\n \n Your Next Challenge: \n \n Cluster Operations: Manage the availability, performance, and health of our dense on-prem GPU clusters. Coordinate with hardware vendors and internal teams to keep physical infrastructure meeting the demands of frontier model training.\n Orchestration \u0026 Scheduling: Operate and improve Beaker, our internal orchestration platform by optimizing resource allocation and driving high utilization across on-prem assets and elastic cloud resources (AWS/GCP).\n Storage Operations: Execute and continuously improve our storage environment, balancing high-throughput performance for active training against cost-effective durability for petascale research data. Contribute to the longer-term storage roadmap.\n Resource Management: Manage GPU compute allocation against budget. Track utilization, surface the data, and recommend when to burst to the cloud versus investing in on-prem capacity, escalating larger trade-offs as needed.\n User Support \u0026 Velocity: Serve as the technical bridge to our research teams. Ensure infrastructure is an accelerator, not a bottleneck, for a diverse set of research objectives.\n Team Leadership: Manage and grow a team of systems engineers, SREs, and software developers. Set the bar for operational rigor, engineering quality, and a collaborative culture, and keep the team unblocked and delivering.\n \n What You’ll Need: \n \n Experience: 12+ years in infrastructure, systems engineering, or HPC (or an advanced degree with 8+ years), including 2+ years supervising a small engineering team (5+).\n Bachelor's degree in a related field : a relevant advanced degree may substitute for equivalent years of technical work experience.\n GPU/HPC Stack: Direct experience operating large-scale NVIDIA GPU clusters and high-performance networking (InfiniBand/RoCE).\n Orchestration: Strong background in Kubernetes, Slurm, or similar orchestration frameworks, particularly in hybrid-cloud configurations.\n Storage: Hands-on experience with distributed filesystems (e.g., WEKA, Ceph, Lustre) and cloud storage integration at scale.\n Software Development: Proficient in designing and managing SDLC processes including sprint planning and technical design reviews. Proficient in Go or Python.\n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will unde","salary_min":146880,"salary_max":220320,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","robotics","healthcare","gpu","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/8029564","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T00:47:06Z","expires_at":"2026-08-15T14:18:06.363366Z","created_at":"2026-07-09T14:16:58.241171Z","updated_at":"2026-07-16T14:18:06.487471Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a78c1e6e-02a1-4e7c-aa23-10d382bb3863"},{"id":"eeeae1ee-77ec-47e2-8f3a-01c65044747d","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff Software Engineer, Labs: Applied AI","slug":"staff-software-engineer-labs-applied-ai-8a0854db","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.\n  \n Applied AI is one of the newest explorations within Anthropic Labs, the internal accelerator behind Claude Code, MCP, and Claude Design. Most of the world's work happens far from a code editor, and the people doing it have barely begun to feel what frontier AI can do. We believe Claude has a transformative role to play here — and we're at the earliest stage of exploring what that could look like. The engineers who join now will define where it goes.\n  \n We're looking for versatile, entrepreneurial engineers who are energized by building for users unlike themselves. In this role, you'll take frontier AI capabilities and turn them into applications that professionals in less software-native roles can pick up and trust — rapidly building and testing new experiences, partnering directly with researchers, domain experts, and users, and generating the insights that shape where this exploration goes next. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory.\n Responsibilities\n \n \n Rapidly prototype full-stack applications that bring frontier AI into workflows that have never been software-first, shipping early and often to maximize learning\n \n Immerse yourself in unfamiliar domains: sit with users, learn how their work actually gets done, and encode that understanding into products, evaluations, and workflows\n \n Collaborate closely with research teams to understand new model capabilities and translate them into tools that non-technical professionals reach for first\n \n Work directly with internal teams and external partners across industries to gather feedback, iterate quickly, and validate (or invalidate) product concepts\n \n Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation\n \n Generate documentation and insights to guide successful prototypes toward full product teams\n \n Provide feedback to research teams about model effectiveness in real-world, domain-heavy settings and where capabilities can improve\n \n Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities — context from one project should inform the next\n \n You may be a good fit if you\n \n \n Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments\n \n Are deeply curious about how other industries work, and enjoy translating messy, real-world workflows into simple software\n \n Thrive in ambiguity and are energized (not anxious) by uncertainty — you're comfortable working on projects that might not exist in three months\n \n Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff\n \n Are deeply user-centric — you validate ideas with actual users before over-investing and talk about problems before solutions\n \n Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments\n \n Hold strong opinions loosely — you advocate forcefully for ideas but change your mind based on evidence\n \n Are a generalist who can transition between different problem spaces as priorities shift\n \n Work independently with good judgment about what matters, without needing constant direction\n \n Communicate effectively and can make complex AI capabilities feel intuitive to people who don't think in software\n \n Care about the societal impacts and ethics of your work\n \n Strong candidates may also have\n \n \n Experience building products for industries outside of tech — e.g., healthcare, manufacturing, logistics, construction, energy, agriculture, financial services, education, or the public sector\n \n A previous career, or deep hands-on exposure, in a field outside of software — you've been the user these products serve\n \n Background conducting embedded or field-based discovery: user research, interviews, ride-alongs, and usability testing with frontline professionals\n \n Experience integrating with the systems these industries actually run on (ERPs, EHRs, CRMs, dispatch, scheduling, or point-of-sale systems)\n \n Experience shipping software or AI applications to non-technical or frontline users — you know how to design for people wh","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","alignment","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5304425008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T19:55:29Z","expires_at":"2026-08-15T14:00:41.212289Z","created_at":"2026-07-09T14:00:41.408804Z","updated_at":"2026-07-16T14:00:41.34361Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/eeeae1ee-77ec-47e2-8f3a-01c65044747d"},{"id":"61d3f0a3-acbd-4d78-9072-729c5a2ba997","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Senior Data Integration Analyst","slug":"senior-data-integration-analyst-1c6eb5e5","description":"Opportunity Overview:  \n We're looking for a Senior Data Integration Analyst to join our Payment Integrity team. In this role, you'll design and validate data mapping solutions, ensure data quality across products and systems, investigate complex data issues, and support data integration and transformation efforts that power our payment integrity solutions.\n As a senior member of the team, you'll serve as a subject matter expert, mentoring other analysts, promoting best practices, and partnering with business and technical stakeholders to deliver accurate, scalable data solutions.\n This is an opportunity to combine your healthcare and data expertise to build innovative solutions that improve accuracy, efficiency, and financial outcomes for our clients.\n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n What you’ll do: \n \n Design, implement, and validate data mapping, transformation, and integration solutions across multiple systems and data sources.\n Investigate and resolve complex data quality, mapping, and integration issues while ensuring data accuracy and integrity through testing and validation.\n Partner with business and technical stakeholders to translate requirements into scalable data solutions.\n Create and maintain mapping specifications, technical documentation, and other resources that support data governance and operational excellence.\n Identify opportunities to improve data quality, automate processes, and drive operational efficiency.\n Serve as a subject matter expert by mentoring analysts, developing training materials, and promoting best practices across the team.\n \n What you’ll need: \n \n Bachelor's degree in a related field or equivalent professional experience.\n 5+ years of experience in data mapping, data analysis, and data integration.\n 3+ years of experience working with medical claims data required. \n Experience with one or more programming languages, such as SQL, Python, PySpark, or Spark SQL.\n Experience working with AWS and complex, multi-source data environments.\n Strong understanding of database design, data relationships, transformation logic, and data quality principles.\n Proven ability to troubleshoot complex data issues and deliver accurate, scalable solutions.\n Strong analytical, communication, and collaboration skills, with the ability to work independently in a fast-paced environment.\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $105,000 to $120,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Technical Discussion \n Behavioral Interview \n \n *Subject to change\n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 \u0026 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. \n The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, k","salary_min":105000,"salary_max":120000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["healthcare","cloud","payments","agents"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7784512003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T22:29:28Z","expires_at":"2026-08-15T14:06:54.007369Z","created_at":"2026-07-09T14:06:22.382973Z","updated_at":"2026-07-16T14:06:54.15072Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/61d3f0a3-acbd-4d78-9072-729c5a2ba997"},{"id":"9bf087cc-bea6-427a-bbb1-aa8de95d7ad9","company_id":"aa372131-86ce-432a-af45-e2b42a79ba29","title":"Research Engineers, Post-Training","slug":"research-engineers-post-training-1fd6b6d1","description":"ABOUT DISTYL AI\n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and run post-training workflows that improve the behavior, reliability, and usefulness of AI systems\n\n - Develop datasets, preference signals, evaluation suites, reward models, fine-tuning workflows, and feedback loops for applied AI use cases\n\n - Investigate how different post-training techniques affect system behavior across enterprise workflows and production constraints\n\n - Build infrastructure for experimentation, model comparison, regression testing, and behavior analysis\n\n - Partner with AI Researchers to explore new post-training methods and with AI Engineers to apply successful techniques in deployed systems\n\n - Analyze model outputs, failure modes, human feedback, and production traces to identify opportunities for behavioral improvement\n\n - Create repeatable processes for adapting AI systems to customer domains while preserving robustness, transparency, and maintainability\n\n - Communicate clearly with internal teams and customer stakeholders about model behavior, evaluation results, limitations, and tradeoffs\n\n\n\n\nWHO YOU ARE\n\n - Experience Improving Model Behavior: You have worked with fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evals, or related post-training techniques\n\n - Strong Programming and Experimentation Skills: You can build training and evaluation pipelines, run controlled experiments, analyze results, and iterate quickly\n\n - Research-Oriented Builder: You care about understanding why behavior changes, not just whether a benchmark improves\n\n - AI Systems Mindset: You understand that model behavior is shaped by data, prompts, tools, retrieval, evaluators, and deployment context—not model weights alone\n\n - AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, experimentation, and research exploration\n\n - Bias Towards Measurement: You make behavioral improvements concrete through evaluations, comparisons, regression tests, and production-relevant metrics\n\n - Comfort with Applied Constraints: You can balance research ambition with practical constraints around cost, latency, reliability, data availability, and customer requirements\n\n - Ownership Mentality: You take responsibility for whether post-training work improves real system outcomes, not just offline scores\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building","salary_min":150000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","reinforcement-learning","search","fine-tuning","research"],"apply_url":"https://jobs.ashbyhq.com/distyl/96951117-efef-4f27-bbc4-671559d4af30/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T15:39:17.759Z","expires_at":"2026-08-15T14:19:19.695276Z","created_at":"2026-06-28T14:17:24.151827Z","updated_at":"2026-07-16T14:19:19.829698Z","company_name":"Distyl AI","company_slug":"distyl-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=distyl.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9bf087cc-bea6-427a-bbb1-aa8de95d7ad9"},{"id":"8f723451-d172-49ec-8f31-083cc8165ebe","company_id":"aa372131-86ce-432a-af45-e2b42a79ba29","title":"Research Engineers, Agents","slug":"research-engineers-agents-a9bfbf51","description":"ABOUT DISTYL AI\n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows\n\n - Build compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution\n\n - Investigate how agents reason, coordinate, recover from errors, and interact with external systems under real-world constraints\n\n - Develop evaluation frameworks that measure agent behavior, task completion, reliability, robustness, and failure modes\n\n - Create tools and abstractions that make agent behavior easier to observe, debug, test, and improve\n\n - Partner with AI Researchers to explore new agent architectures and with AI Engineers to harden successful approaches for production use\n\n - Integrate agents into customer APIs, applications, data platforms, and operational workflows\n\n - Communicate clearly with internal teams and customer stakeholders about agent capabilities, limitations, tradeoffs, and risks\n\n\n\n\nWHO YOU ARE\n\n - Experience Building Agentic Systems: You have built AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks\n\n - Strong Engineering Fundamentals: You write clean, maintainable Python and are comfortable debugging complex, stateful systems\n\n - Systems-Level Reasoning: You think holistically about how prompts, tools, context, evaluators, state, orchestration, and external APIs interact\n\n - Research-Oriented Builder: You are curious about why agents succeed or fail, and you can design experiments to test different architectures and behaviors\n\n - AI-Native Working Style: You use AI tools daily to write code, debug systems, explore designs, analyze traces, and accelerate experimentation\n\n - Bias Towards Showing vs. Telling: You prefer working demonstrations, traces, evaluations, and production behavior over abstract descriptions\n\n - Comfort in Customer Environments: You can translate ambiguous business workflows into concrete agent designs and explain system behavior clearly to stakeholders\n\n - Ownership Mentality: You take responsibility for whether an agentic system performs reliably, safely, and usefully in production\n   \n   \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage o","salary_min":150000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","healthcare","search","research"],"apply_url":"https://jobs.ashbyhq.com/distyl/462996c2-f91d-4f21-bf77-7215a0be3d73/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T15:39:15.352Z","expires_at":"2026-08-15T14:19:19.782973Z","created_at":"2026-06-28T14:17:23.752319Z","updated_at":"2026-07-16T14:19:19.904976Z","company_name":"Distyl AI","company_slug":"distyl-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=distyl.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8f723451-d172-49ec-8f31-083cc8165ebe"},{"id":"e880b7b3-5c24-4ddd-8769-b56233d39c69","company_id":"aa372131-86ce-432a-af45-e2b42a79ba29","title":"Research Engineers, Data","slug":"research-engineers-data-33bc4535","description":"ABOUT DISTYL AI\n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and build data systems that power reliable AI workflows across enterprise environments\n\n - Develop pipelines for collecting, cleaning, transforming, labeling, and evaluating domain-specific data used by AI systems\n\n - Create data quality frameworks that identify coverage gaps, ambiguity, drift, duplication, leakage, and other failure modes\n\n - Build tools and workflows that help teams turn raw customer data into usable context for retrieval, evaluation, reasoning, and execution\n\n - Partner with AI Researchers and AI Engineers to understand how data quality affects system behavior and production outcomes\n\n - Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in areas where real-world data is sparse or noisy\n\n - Analyze customer workflows and datasets to determine what information AI systems need, where that information should come from, and how it should be represented\n\n - Communicate clearly with internal teams and customer stakeholders about data assumptions, limitations, risks, and tradeoffs\n\n\n\n\nWHO YOU ARE\n\n - Experience Building Data Systems for AI: You have built data pipelines, evaluation datasets, labeling workflows, retrieval corpora, or similar systems that improve model or agent behavior\n\n - Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and pipeline reliability, and can build systems that are maintainable under production constraints\n\n - Research-Oriented Builder: You are comfortable investigating how data quality, structure, and representation affect AI system performance\n\n - AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, exploration, and workflow automation\n\n - Comfort with Ambiguous Data: You can reason through messy enterprise datasets, incomplete documentation, conflicting business definitions, and changing requirements\n\n - Bias Towards Measurement: You prefer to make data quality and system behavior observable through concrete metrics, evaluations, and experiments\n\n - Customer Environment Readiness: You can work directly with customer teams to understand their data, ask precise questions, and explain tradeoffs clearly\n\n - Ownership Mentality: You take responsibility for whether the data layer enables the AI system to deliver reliable value in production\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being","salary_min":150000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","search","data-pipeline","fine-tuning","research"],"apply_url":"https://jobs.ashbyhq.com/distyl/fe44469c-0f27-408c-878c-5e296b7db50e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T15:39:12.519Z","expires_at":"2026-08-15T14:19:19.610383Z","created_at":"2026-06-28T14:17:24.85961Z","updated_at":"2026-07-16T14:19:19.741508Z","company_name":"Distyl AI","company_slug":"distyl-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=distyl.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e880b7b3-5c24-4ddd-8769-b56233d39c69"},{"id":"96b781f6-17c4-4f20-ab03-25b9168169cf","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Lead Software Engineer","slug":"lead-software-engineer-601f32c7","description":"Opportunity Overview:  \n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n We are seeking a Lead Engineer to join our Engineering department. In this role, you will work on a fast-paced, collaborative, agile team to build and enhance a growing software platform. You’ll have technical responsibility for end-to-end feature releases and platform enhancements delivered by the team. This is an opportunity to define the customer-configurability capabilities of the Cohere platform..\n What you’ll do: \n \n Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions\n Contribute heavily to feature design, development, testing, and delivery of our cloud platform and web applications\n Support all parts of our platform from the database to the frontend\n Continuously discover, understand, and implement new technologies \u0026 services to maximize development efficiency\n Contribute to a culture committed to testing, quality, and attention to detail by supporting best practices such as writing and maintaining comprehensive test coverage\n Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security\n Foster a community of mentorship for junior engineers on your team\n \n What you’ll need: \n \n Bachelor's degree in computer science, software engineering, or equivalent experience\n Minimum of 8 - 10 years of experience in software development lifecycle\n Experience building applications using React and TypeScript or another modern web framework\n Fluency in Java\n Experience designing and implementing scalable data services and APIs\n Hands-on in-depth experience building and maintaining services using MongoDB, Elasticsearch, DataDog or Kafka, at least one\n Experience architecting and deploying software to modern cloud infrastructure using AWS and Terraform or CloudFormation\n You have experience working on software development teams, building and deploying full stack web applications\n You are passionate about building quality products and want to own product development end-to-end, with excellent design and development standards\n You can collaborate closely with teammates in product and design to build applications providing healthcare practitioners with the highest quality user experience\n You have experience with common software development practices such as version control, unit testing, and CI/CD\n You are a team player and are interested in working at a fast-paced startup environment\n Prior experience in healthcare and life sciences is a plus, but is not required\n Experience leveraging test frameworks such as Cypress, Jest, Mocha, JUnit, or Cucumber is a plus\n Experience leveraging Groovy and Micronaut is a plus\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $155,000 to $175,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n  \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Design Interview(s)\n Cross-Functional Interview\n \n *Subject to change\n  \n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and","salary_min":155000,"salary_max":175000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["healthcare","agents","search","payments","cloud"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7796255003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T19:29:18Z","expires_at":"2026-08-15T14:06:53.296284Z","created_at":"2026-07-07T14:07:14.264581Z","updated_at":"2026-07-16T14:06:53.417518Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/96b781f6-17c4-4f20-ab03-25b9168169cf"},{"id":"e4e8f26d-a735-40ce-846f-4cc7f9bf655b","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Principal AI Engineer, Special Programs","slug":"principal-ai-engineer-special-programs-6c6075fc","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n PRINCIPAL AI ENGINEER, SPECIAL PROGRAMS \n This team focuses on engineering and deploying AI capabilities (models, APIs, tools, and integrations) for U.S. federal agencies. You'll work closely with product, research, infrastructure, and legal/governance teams to make  AI and future models maximally useful for missions while upholding safety, transparency, and ethical standards.\n RESPONSIBILITIES: \n \n Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments\n Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers\n Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback\n Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science or another STEM discipline; OR 2+ years of professional experience in software development in lieu of a degree\n 6+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency, other languages a plus)\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Experience working with large language models, generative AI, or agentic systems—either in research, production, or applied engineering\n Familiarity with government or public sector technology environments (federal civilian agencies, state/local gov, or regulated industries like healthcare, finance, or infrastructure)\n Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions\n Demonstrated ability to write clean, maintainable, high-performance code under tight timelines\n Exceptional problem-solving skills and intellectual curiosity—you thrive on hard, ambiguous challenges\n Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely\n Prior work on AI safety, governance, red-teaming, or responsible AI deployment\n Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration\n Background in policy-adjacent technical roles, civic tech, or public-interest technology\n Contributions to open-source AI projects or developer tools\n \n ADDITIONAL REQUIREMENTS: \n \n Must be willing to work extended hours and weekends as needed\n 20% travel may be required to government sites\n This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.\n \n COMPENSATION AND BENEFITS: \n Pay range:     Principal AI Engineer: $220,000.00 - $350,000.00/per year    \n Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.\n Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.\n ITAR REQUIREMENTS: \n \n To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here .  \n \n SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced","salary_min":220000,"salary_max":350000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["healthcare","agents","alignment","generative-ai","llm"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8572114002?gh_jid=8572114002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T18:38:41Z","expires_at":"2026-08-15T14:18:25.047639Z","created_at":"2026-07-07T14:26:20.977051Z","updated_at":"2026-07-16T14:18:25.173682Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e4e8f26d-a735-40ce-846f-4cc7f9bf655b"},{"id":"1f1277bf-6df0-4958-98b7-f80a494a37bc","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior Software Engineer, Agentic AI Platform","slug":"senior-software-engineer-agentic-ai-platform-4f22bc2d","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n C3 AI is building the platform that makes autonomous intelligence reliable in the real world. We are looking for a senior software engineer to help build the C3 Agentic AI Platform — the system on which AI agents observe, reason, decide, and act on live operational data across critical industries such as manufacturing, energy, defense, and healthcare. This is production AI where wrong actions have real consequences, so the bar is accuracy, performance, and safety you can measure.\n The ideal candidate has a strong computer science and mathematics background and has built scalable software systems that ran in production. You thrive in a fast-paced, highly collaborative environment, communicate clearly, and hold a high bar without ego. You also treat curiosity as a survival skill: the models, tools, and techniques in this space change monthly, and you want to learn faster than the market.\n As a C3 Agentic AI Platform engineering team member, you will closely collaborate with product owners and data scientists and be responsible for the entire software engineering lifecycle. Our agents do not run in toy environments; they operate where mistakes can break equipment, delay missions, or create safety risk. Agent accuracy, performance, and safety are the product itself — not compliance cleanup — and everything you build must be measurable, explainable, and reliable in production.\n Responsibilities\n \n Architect and build the systems, tools, and frameworks that let data scientists and developers create, deploy, and operate agentic AI applications on the C3 Agentic AI Platform — applying sound design principles to ground agents in governed enterprise data and run them on reliable, scalable runtimes and end-to-end pipelines in a distributed system.\n Advance agent accuracy: build the evaluations, grounding, and feedback loops that measure and improve correctness, reduce hallucination, and track override rates in production.\n Drive agent performance: optimize latency, throughput, scalability, and inference cost across the platform.\n Strengthen agent safety: implement inherited permissions, guardrails, human-approval and escalation paths, auditability, and rollback so that autonomy stays bounded and is earned one workflow at a time.\n Collaborate with and support data scientists to understand the utility of the C3 Agentic AI Platform and define new requirements.\n Work with product owners to define and lead the development of longer-term platform capabilities.\n Mentor junior members of the team.\n \n Qualifications\n \n Advanced degree in computer science, math, or a similar field.\n Strong command of software architecture and design principles, with a track record of designing scalable, reliable, and maintainable systems and making architectural trade-offs deliberately.\n Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming.\n Strong programming skills in Java, Python, and JavaScript.\n High proficiency with agentic coding tools (e.g., Claude Code, Cursor) — going beyond individual tool use to orchestrate engineering workflows across multiple agents working in parallel. You decompose work, delegate to and coordinate several coding agents at once, and review their output with the judgment to catch subtle bugs, security issues, and architectural drift, all while collaborating closely with teammates and keeping code correct, secure, and maintainable.\n In-depth understanding of machine learning algorithms; familiarity with LLMs and AI agent architectures is a strong plus.\n Proven track record of applying machine learning or AI in a production system.\n Demonstrated end-to-end ownership of projects, including making key design decisions and understanding the tradeoffs.\n A minimum of 5 years of work experience in a fast-paced software company.\n \n Growth and learning\n \n Work at the frontier of agent reliability — evaluations, grounding, guardrails, orchestration, and inference performance at enterprise scale — and build expertise that is scarce and in demand.\n Learn from a high-bar team and help others do the same. Technical disagreement is welcome here, and the best idea wins, even when it comes from the newest person in the room.\n Grow as an engineer without being pushed into management — senior individual-contributor, agent, and domain-expertise paths are real and respected.\n C3 AI invests in your education, including funding a fully-online m","salary_min":160000,"salary_max":219000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","distributed-systems","agents","generative-ai","llm","platform"],"apply_url":"https://c3.ai/job-description/8621286002?gh_jid=8621286002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T17:18:05Z","expires_at":"2026-08-15T14:10:38.104095Z","created_at":"2026-07-07T14:11:27.29034Z","updated_at":"2026-07-16T14:10:38.231794Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1f1277bf-6df0-4958-98b7-f80a494a37bc"},{"id":"e5f37346-7318-4d03-bba6-98582a3995f9","company_id":"3d233526-89a8-48ea-b0ed-3304a35b8acf","title":"Senior Machine Learning Engineer, Health","slug":"senior-machine-learning-engineer-health-32b476c8","description":"WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.\nThe Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women’s health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.\nAs a SeniorMachine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.\n","salary_min":150000,"salary_max":210000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","cloud","machine-learning","research"],"apply_url":"https://jobs.lever.co/whoop/d71ade70-3925-4dee-bf5c-8804b3897914/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T16:29:28.426Z","expires_at":"2026-08-15T14:17:40.907212Z","created_at":"2026-07-09T14:16:34.500559Z","updated_at":"2026-07-16T14:17:41.027765Z","company_name":"WHOOP","company_slug":"whoop","company_logo_url":"https://www.google.com/s2/favicons?domain=whoop.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e5f37346-7318-4d03-bba6-98582a3995f9"},{"id":"73b89400-b07c-4afa-80da-b650e173ce61","company_id":"a0000000-0000-0000-0000-000000000001","title":"Industry Principal, Life Sciences","slug":"industry-principal-life-sciences-a84d9059","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n As the Life Sciences Industry Advisor at Anthropic, you will serve as the technical and scientific face of Claude to the world's leading pharmaceutical companies, biotechs, contract research organizations, and research institutions. You'll combine deep life sciences domain expertise with technical credibility to help customers envision, architect, and realize transformational AI solutions across the drug discovery and development lifecycle — while building Anthropic's reputation as the trusted AI platform for one of the most rigorous and regulated industries in the world.\n This role sits at the intersection of scientific leadership, customer engagement, product strategy, and internal enablement. You'll work directly with Chief Scientific Officers, Chief Medical Officers, Heads of R\u0026D, Chief Digital \u0026 Data Officers, Heads of Regulatory Affairs, and computational and translational science leaders at major biopharma and research organizations to design solutions that address their most critical challenges — from literature synthesis and hypothesis generation to bioinformatics, clinical trial design, and regulatory submission. Your insights will flow directly to Product and Research, shaping Claude's roadmap for life sciences. Equally important, you'll enable Anthropic's GTM teams with deep domain expertise, thought leadership content, and strategic guidance.\n With AI poised to compress drug development timelines and the industry seeking partners who understand the science, the workflows, and the regulatory bar, you'll play a pivotal role in establishing Anthropic as the AI platform of choice for life sciences worldwide.\n Key responsibilities \n \n Technical Evangelism \u0026 Thought Leadership: Represent Anthropic's scientific and technical vision to the life sciences industry through conference keynotes (e.g., J.P. Morgan Healthcare, BIO, DIA, SLAS, Bio-IT World), executive briefings, whitepapers, and scientific advisory boards. Establish Claude as the leading AI platform across discovery research, translational and clinical development, and regulatory affairs.\n Strategic Customer Engagement: Serve as executive technical sponsor for strategic life sciences accounts, engaging CSOs, CMOs, Heads of R\u0026D, Chief Digital/Data Officers, and Heads of AI/Computational Science on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic R\u0026D transformation partner.\n Product Partnership \u0026 Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop life-sciences-specific capabilities including scientific accuracy and citation integrity, GxP/validated workflows, data privacy and security, model governance, explainability, and auditability.\n Pricing \u0026 Commercial Strategy: Contribute to pricing and packaging decisions with life sciences market insight. Understand value drivers across discovery, development, and commercial functions, competitive positioning, and deal structuring that aligns with how biopharma and research organizations buy technology.\n Internal Enablement \u0026 Advocacy: Train and uplift Anthropic's GTM teams on life sciences domain expertise, scientific workflows, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things life sciences. Influence without authority across the organization.\n Regulatory \u0026 Compliance Navigation: Partner internally and externally to develop thought leadership on AI governance frameworks aligned with FDA and EMA expectations, GxP and GAMP 5, 21 CFR Part 11, data integrity (ALCOA+), and patient-data privacy (HIPAA/GDPR). Help customers understand model risk management, validation, explainability requirements, and responsible AI practices for regulated scientific and clinical work.\n Ecosystem Partnership: Build technical relationships with GSIs and life sciences consultancies (Deloitte, Accenture, PwC, KPMG, ZS, IQVIA), cloud providers (AWS, Google Cloud, Azure), and life sciences platform/data vendors (Veeva, Benchling, Schrödinger, Medidata, 10x Genomics).\n \n Minimum qualifications \n \n Have 20+ years of experience in scientific, technology, and/or business roles with at least 8 years in senior leadership positions (CSO, CMO, VP/Head of R\u0026D, Chief Data/Digital Officer, Head of Computational Sciences, Head of Regulatory Affairs, Distinguished Scientist/Engineer) in pharma, biotech, or a life sciences research organization\n Have deep domain expertise across one or more stages of the drug discovery and development lifecycle — discovery/translational","salary_min":450000,"salary_max":550000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["generative-ai","alignment","llm","healthcare"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5254908008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T15:50:38Z","expires_at":"2026-08-15T14:00:23.018321Z","created_at":"2026-07-07T14:00:23.360808Z","updated_at":"2026-07-16T14:00:23.14409Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/73b89400-b07c-4afa-80da-b650e173ce61"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":1188,"total_pages":60}