🌟 Your Impact at Lila
We are seeking talented and visionary AI Lab Research Engineer to develop scientific AI models to tackle complex, multi-step problems across domains to join our team. Title will be determined by merit and experience level.
In this role, you will design, train, and deploy advanced AI agents capable of performing sequential decision-making, reasoning, and task completion in scientific contexts.
As an AI Lab Research Engineer at Lila Sciences, you’ll work alongside experts in biology, materials science, automation to push the boundaries of what’s possible with AI-driven research.
🛠️ What You’ll Be Building
- Agentic AI for science: Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems.
- Workflow/code generation: From natural language intent to typed, executable steps for lab instruments.
- Evaluation & reliability: Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals.
🧰 What You’ll Need to Succeed
- PhD or Masters in a quantitative discipline (e.g., Computer Science, Physics, Mathematics, Engineering) with a strong background in machine learning and one domain of science (e.g. biology or materials science).
- Strong grasp of LLMs and agent architectures (planning, tool use, structured function calling, code generation) and how to adapt them to domains.
- Building long‑horizon agents or RL for control/decision‑making; experience with model‑based or offline RL.
- Designing domain‑specific benchmarks and evaluation harnesses for complex scientific tasks.
✨ Bonus Points For
- Digital‑twin development, calibration, and sim‑to‑real transfer.
- Publications or open‑source contributions in AI for science (especially publications in top-tier conferences like NeurIPS, ICML, AAAI, ICLR).