Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure

• Strong software engineering skills in Python and experience working with ML, scientific computing, or simulation codebases.
• Experience building, scaling, or operating distributed systems for research, ML, physics, simulation, or data-intensive workloads.
• Practical knowledge of GPU computing, performance profiling, distributed execution, and failure modes in large-scale workloads.
• Experience with PyTorch, JAX, CUDA-aware workflows, or related ML/scientific computing frameworks.
• Practical knowledge of Linux, Docker or containers, dependency management, and reproducible development environments.
• Experience with orchestration, scheduling, or distributed execution systems such as Kubernetes, Slurm, Ray, Flyte, Argo, or similar tools.
• Ability to take prototype-quality research code and improve its architecture, scalability, reliability, and maintainability.
• Strong debugging skills across code, environments, infrastructure, data pipelines, and compute clusters.
• Ability to work directly with researchers, understand ambiguous technical needs, and convert them into robust engineering solutions.

• Familiarity with chemistry, computational biophysics, molecular simulation, computational chemistry, cheminformatics, or drug discovery workflows.
• Experience with cloud GPU infrastructure, multi-cluster execution, or hybrid compute environments.
• Experience building tools for LLM agents or automated research workflows.
• Experience with workflow observability, checkpointing, retries, and fault-tolerant scientific workloads.
• Experience with CI, testing, packaging, and release practices for research software.
• Comfort supporting fast-moving research teams without over-engineering exploratory work.

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 SuperintelligenceTM 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 FactoryTM 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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