Research Scientist, Frontier Capabilities

As a Machine Learning Research Scientist I/II in LLM Inference you will lead research on how we train and serve large language models for scientific applications.

• Develop and optimize LLM post-training strategies including SFT, RLHF, and RL with verifiers.
• Design test-time compute and efficient inference mechanisms for complex tool use environments.
• Build scalable evaluations for LLM performance on scientific reasoning.
• Explore the limits of frontier LLM based approaches for scientific tasks and quantifying their failure modes.

• Strong background in LLM training and deployment.
• Research experience in scalable compute techniques.
• Publications or contributions to open-source frameworks welcome.

• Experience applying LLMs to scientific or technical data.
• Work in collaborative cross-functional ML environments.

San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

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.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

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.

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