ML Research Scientist, Environments & Harnesses
Lila Sciences · Cambridge, MA USA · London, UK · San Francisco, CA USA · Alewife, Cambridge, MA · Europe
Bio & Science AIonsite$228k–$304k
At a glance
Highlights
- Design harness innovations like multi-agent swarms and long-horizon planning.
- Invent new RL environments turning scientific workflows into training signal.
- Build pipelines turning papers and lab protocols into validated training envs.
What they offer
- Competitive base with bonus potential and early-stage equity
- Medical, dental and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with company-wide holidays
- Paid parental leave and educational assistance
- Commuter benefits and subsidized lunch program
Ideal candidate
Creative research-minded builder who loves inventing new agent capabilities, thrives in ambiguity, and wants to accelerate scientific discovery.
Requirements
- PhD or equivalent in Computer Science or related quantitative field and two years industry experience
- Strong track record ideating harness designs or creating RL environments at scale
- Strong prototyping and coding skills iterating quickly in Python
- Creativity and research intuition navigating ambiguity and designing experiments
- Familiarity with core concepts and algorithms in reinforcement learning
- Solid software engineering fundamentals integrating experimental work into shared infrastructure
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation
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