Lila Sciences
Machine Learning Engineer, Physical Sciences AI
$180K–$298K
Cambridge, MA USA +2 · Full-time · Posted Feb 3, 2026
- Location
- Cambridge, MA USA
San Francisco, CA USA
Alewife, Cambridge, MA - Education
- BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
About the job
Build and operate reliable, scalable production systems for machine-learning models and agentic workflows that accelerate discovery in materials and chemistry.
What you'll do
- Take models and agentic workflows from research code through deployment and monitoring.
- Build production integrations for AI agents to use models, tools, simulations, and data services; optimize model and agent performance.
- Design and maintain AI/ML pipelines with testing, observability, CI/CD, and automated evaluations, and collaborate on platform architecture and engineering practices.
What they ask for
- BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
- Strong Python software engineering fundamentals and experience with machine-learning frameworks.
- Experience deploying AI/ML services in cloud-based infrastructure.
- Hands-on experience bringing models to production, with debugging, profiling, and optimization skills.
Nice to have
- Contributions to open-source ML or scientific software; experience or strong interest in building with AI agents.
- Experience with workflow orchestration, data provenance, large-scale compute, scientific domains, or training/inference optimization.
Pay
$180,000 — $298,000 USD (base salary)
Tools
Python, PyTorch, Hugging Face, FastAPI
AI focus
Productionize AI/ML models and agentic workflows for scientific discovery in materials and chemistry, including integrations, pipelines, evaluation, and performance optimization.
Model-written summary · the original posting is authoritative