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Lila Sciences — Cambridge MA USA
Your Impact at LILA 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.
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.
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.
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.
, PyTorch, TensorFlow, JAX) and experience implementing scalable solutions for complex tasks. Comfort collaborating across disciplines and interfacing with simulations and real lab systems. Bonus Points For 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. 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).
Location San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).
Compensation
We offer competitive base
with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. S.
Benefits
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program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter
, including bike share memberships for office based employees; and a company subsidized lunch program.
S.
program tailored to their region. -based positions; international salaries are set to local market. Expected Base Salary Range $148,000 $240,000 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.