Lila is building a platform where AI and automation co-evolve to accelerate scientific discovery. Our AI Research team is looking to hire a ML Research Scientist to focus on synthetic RL environment pipelines and multi-agent harness design. These core pillars enable efficient scaling at training and test time to unlock scientific discovery. Lila’s scale and unique focus on experimental science means solving novel problems and building infrastructure that scales.

What You'll Be Building

Design and prototype new harness capabilities — context compaction strategies, novel tool interfaces, long-horizon planning mechanisms, mult-agent swarms, and other innovations that expand what agents can do.

Invent new types of RL environments — explore creative ways to turn scientific workflows, simulators, and real-world tasks into training signal.

Build end-to-end pipelines for synthetic environment generation — transforming raw assets (papers, codebases, lab protocols) into validated, versioned training environments at scale.

Prototype and validate environment designs — from initial concept through reward shaping, data collection, and integration with the training loop.

Push the boundaries of multi-step reasoning — design and implement support for chained tasks, hierarchical goals, and complex evaluation scenarios.

ML Research Scientist, Environments & Harnesses

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Lila Sciences

More roles at Lila Sciences