Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today’s greatest challenges in physical sciences. What You'll Be Building Design, implement, and maintain end‑to‑end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).

Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases. Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems. Contribute to technical design reviews, coding standards, and mentoring of best practices.

What You’ll Need to Succeed BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. ). Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).

Hands‑on experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills. Clear communication and collaboration in cross‑functional settings. Bonus Points For Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.

GPU optimization experience (CUDA, Triton, compilation, distributed training). Prior contributions to open‑source ML or scientific software. Experience with workflow orchestration, data provenance, or large‑scale compute environments.

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

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.

program tailored to their region. -based positions; international salaries are set to local market. Expected Base Salary Range $128,000 $198,000 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. 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.

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.

Equal Employment Opportunity

regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability,

Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences