ML Engineer II, Physical Sciences — Production ML & Equity

Lila Sciences; Cambridge (MA); On-site; USD 128,000 - 198,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Employer-paid life and disability insurance

Flexible time off

Paid parental leave

Educational assistance program

Commuter benefits

Company-subsidized lunch program

Job summary

Lila Sciences is seeking a Machine Learning Engineer to join the Physical Sciences team in Cambridge, Massachusetts. In this role, you will design and maintain end-to-end machine learning pipelines, collaborating with domain scientists to deploy cutting-edge algorithms impacting materials and physical sciences. Required qualifications include experience in Python programming and machine learning frameworks, along with a relevant degree. The position offers a competitive salary ranging from $128,000 to $198,000, alongside comprehensive benefits including flexible time off and health insurance.

Qualifications

• Experience with machine learning frameworks (e.g., PyTorch, Huggingface).
• Hands-on experience with model deployment in production systems.
• Clear communication and collaboration in cross-functional settings.

Responsibilities

• Design and maintain ML pipelines for diverse scientific use cases.
• Productionize models and services with testing and observability.
• Collaborate with scientists to translate research insights.

Skills

Python software engineering fundamentals

Machine learning frameworks

Cloud-based deployment

Model deployment in production systems

Collaboration in cross-functional settings

Education

BS/MS/PhD in Computer Science, Engineering, or a related quantitative field

Tools

PyTorch

FastAPI

GRPC

Job description

Lila Sciences is seeking a Machine Learning Engineer to join the Physical Sciences team in Cambridge, Massachusetts. In this role, you will design and maintain end-to-end machine learning pipelines, collaborating with domain scientists to deploy cutting-edge algorithms impacting materials and physical sciences. Required qualifications include experience in Python programming and machine learning frameworks, along with a relevant degree. The position offers a competitive salary ranging from $128,000 to $198,000, alongside comprehensive benefits including flexible time off and health insurance.