Senior Staff ML Engineer

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.   Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.   What You’ll Do As a  Senior Staff Machine Learning Engineer , you will operate at the company level—defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.   You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership.   How You'll Make an Impact Define and drive the  long-term technical vision for generative AI  across Typeface’s product ecosystem   Lead architecture and design of  scalable ML platforms  (training, evaluation, inference, safety) used across multiple teams   Drive  company-level ML strategy , aligning technical investments with product and business priorities   Influence and partner with  executive leadership, product, and design  to shape high-impact initiatives   Mentor senior engineers and raise the  technical bar across the ML organization   Architect and lead development of  large-scale generative AI systems  powering agentic orchestration and multimodal content generation   Define and evolve  shared ML infrastructure and platforms  for training, fine-tuning, evaluation, and serving   Drive  cross-team initiatives  spanning multiple ML systems and product areas   Establish best practices for  ML system evaluation, safety, reliability, and performance at scale   Identify and incubate  0→1 opportunities  in generative AI with high business impact   Make high-leverage technical decisions that  unlock velocity across teams   Mentor and guide engineers across levels, influencing  design and execution beyond your immediate team   What You Bring 12+ years of experience  building and scaling machine learning systems, with demonstrated impact at Staff+ level   Master’s or PhD degree in Computer Science or a related field Proven track record of driving  multi-team or company-level technical strategy   Experience leading  large, ambiguous, high-impact initiatives  (platforms and/or 0→1 systems)   Deep expertise in  ML systems and infrastructure , including training, evaluation, and inference at scale   Strong background in  Generative AI / LLMs / multimodal systems   Demonstrated ability to  influence senior leadership and align cross-functional stakeholders   Track record of mentoring senior engineers and elevating engineering excellence   Proficiency in Python and systems-level programming (C/C++ or equivalent)   Bonus:   Experience building  ML platforms used across multiple products or teams   Bonus: Prior role as a  Staff+ / Principal / Senior Staff engineer  at a leading AI or technology company   Bonus: Contributions to the field (publications, patents, open-source, or widely adopted systems)   Bonus: Experience in enterprise SaaS or high-growth startup environments   Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.   Base Salary The range for this role is $200,000-$247,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.   Benefits Competitive compensation — including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off — including parental leave Well-being programs — resources to support your mental and physical health Daily lunch & snacks Mentorship & impact — work closely with top AI leaders on products that ship  Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here   Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team — Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies. Backed by the best