Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings

Your Impact at LILA We’re hiring a Machine Learning Scientist to advance multi‑modal reasoning with vision‑language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You’ll design and build state‑of‑the‑art methods to advance the state of Scientific Superintelligence. What You'll Be Building Lead research on multi‑modal reasoning systems that interpret scientific data (images, plots, text, etc) using state‑of‑the‑art and custom VLMs. Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks. Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance. Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities. Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence. What You’ll Need to Succeed Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physical‑sciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience. Track record in multi‑modal ML or VLMs demonstrated via shipped systems, publications, or open‑source. Understanding of scientific QA/benchmarks and custom evaluation design. Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking. Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface). Clear communication and collaboration in cross‑functional settings. Bonus Points For Experience with scientific data modalities in real-world laboratories such as microscopy images. Publications in top ML/CV/NLP venues or tangible impact in applied industrial research. Contributions to open‑source multi‑modal tooling, evaluation suites, or datasets. Compensation We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. Expected Base Salary Range $176,000 — $304,000 USD About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy . A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.