ML Research Scientist, Scientific Evaluations

• Experience applying ML or computation to biology, chemistry, or material sciences.
• A strong track record of creating environments or evaluations for model training
• Experience building large, complex data pipelines for model training or production.
• Strong prototyping and coding skills – comfortable quickly building and iterating on new ideas in Python.
• Creativity and research intuition – ability to identify promising directions, design experiments, and navigate ambiguity.
• Solid software engineering fundamentals – clean code, version control, testing, and ability to integrate experimental work into shared infrastructure.

• Demonstrated experience training large language models
• Strong publication track record at conferences such as NeurIPS, ICML, and ICLR.
• Strong Python programming skills, including research and production infrastructure
• Familiarity with distributed compute (Ray, Modal) or LLM inference systems (vLLM, batching strategies).
• Experience with async Python, Pydantic, and workflow orchestration frameworks (Flyte, Airflow).

$176,000—$304,000 USD

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We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits 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 benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

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.