AI Lab Research Engineer

About Lila Sciences

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai    

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

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 MS + 4+ yrs) in CS/EE/Applied Math/Physics or similar.
• Depth in one or more: model‑based RL, offline RL, hierarchical RL, sequential experimental design, MDPs.
• Strong LLM development experience in PyTorch; experience building training/eval pipelines at scale (accelerators, distributed data loaders).
• Prior work in AI for science, automation, or human robotic interfaces.

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).

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.

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.