Machine Learning Engineer, Physical Sciences AI
Hybrid (Cambridge, MA; San Francisco, CA)$180k - $298kfull-timePosted 8mo ago
About the role
Machine Learning Engineer bridging research and production for Lila’s Physical Science AI team, turning models and agentic workflows into reliable, scalable production systems with strong software engineering and ML deployment focus.
Responsibilities
- Own models and agentic workflows end to end, from research code to a deployed, monitored service.
- Build the integration layer that lets AI agents reliably call models, tools, simulations, and data services in production.
- Make sure models train correctly and that models and agents run efficiently, including profiling memory and compute, catching issues early, and keeping resource usage in check as workloads grow.
- Design and maintain production AI/ML pipelines (data ingestion, training, evaluation, deployment, monitoring), with testing, observability, CI/CD, and automated evaluations built in so releases are safe and results are trustworthy.
- Partner with domain scientists, ML researchers, and platform engineers, and help shape the architecture of our AI/ML platform, coding standards, and engineering best practices.
Qualifications
- BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
- Strong Python software engineering fundamentals (testing, packaging, typing) and experience with machine learning frameworks (e.g., PyTorch, Hugging Face).
- Experience deploying AI/ML services in cloud-based infrastructure (e.g., FastAPI, containers, orchestration, databases).
- Hands-on experience bringing models to production (e.g., deep learning models, LLMs, multimodal models, or RAG), with strong debugging, profiling, and optimization skills.
- Clear communication and collaboration in cross-functional settings.
Skills
Required:PythonML frameworksProduction ML deploymentDebugging and profilingCommunication
Benefits
- Full benefits program including medical, dental, and vision; employer-paid life and disability insurance; flexible time off with holidays; paid parental leave; educational assistance; commuter benefits; bike share memberships; subsidized lunch program.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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