Your Impact at LILA
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 building scientific problems and environments to evaluate frontier LLMs on.
What You'll Be Building
- Design and prototype new evals and environments for science — creating high-quality evaluations, identifying environment failures, and patching model capability gaps.
- 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.
What You'll Need to Succeed
- 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.
Bonus Points For
- 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).
Compensation
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.
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.
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.
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.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
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.
Skills Required
- Experience applying machine learning or computation to biology, chemistry, or materials sciences
- 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, including rapid development and iteration in Python
- Creativity and research intuition, including experiment design and ability to navigate ambiguity
- Solid software engineering fundamentals, including clean code, version control, testing, and shared infrastructure integration
- Demonstrated experience training large language models
- Strong publication record at conferences such as NeurIPS, ICML, or ICLR
- Strong Python skills across research and production infrastructure
- Familiarity with distributed computing tools such as Ray or Modal
- Familiarity with LLM inference systems such as vLLM and batching strategies
- Experience with async Python, Pydantic, and workflow orchestration frameworks such as Flyte or Airflow
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
