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

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

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 diverse scientific use cases in materials, chemistry, and physical sciences. Your work will advance research efforts on state‑of‑the‑art algorithms to build toward 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; 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.
• Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface).
• 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 and Benefits

We offer competitive base compensation with bonus potential and generous early‑stage equity. Your final offer will reflect your background, expertise, and expected impact.

Expected Base Salary Range: $128,000 USD - $198,000 USD.

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.

Equal Employment Opportunity

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.