Machine Learning Engineer II/ Senior Machine Learning Engineer I, Physical Sciences jobs in United States
cer-icon
Apply on Employer Site
company-logo

Lila Sciences · 9 hours ago

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

positionCambridge, MA
timeFull-time
remoteHybrid
seniorityMid, Senior Level
money$128K/yr - $198K/yr

Lila Sciences is pioneering a new age of scientific discovery through its scientific superintelligence platform. The Machine Learning Engineer for the Physical Sciences team will focus on building and operating scalable machine learning workflows to address scientific challenges in materials, chemistry, and physical sciences.

Artificial Intelligence (AI)Foundational AILife ScienceSoftware
check
H1B Sponsor Likelynote

Responsibilities

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

Qualification

PythonMachine Learning frameworksCloud-based infrastructureModel deploymentGPU optimizationWorkflow orchestrationScientific domain exposureOpen-source contributionsClear communicationCollaboration

Required

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, etc.)
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

Preferred

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

Benefits

Bonus potential
Generous early equity

Company

Lila Sciences

twittertwittertwitter
company-logo
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
dateFounded in 2023
location
Cambridge, Massachusetts, USA
people-size201-500 employees
web-link
https://www.lila.ai

H1B Sponsorship

Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)

Funding

Current Stage
Growth Stage
Total Funding
$550.67M
Key Investors
ARIANVenturesFlagship Pioneering
2026-01-20Grant· $0.67M
2025-10-14Series A· $115M
2025-09-14Series A· $235M

Recent News

MIT Technology Review
The UK government is backing AI that can run its own lab experiments
2026-01-22
Axios
2025's AI-fueled scientific breakthroughs
2026-01-03
masslive
Here’s what happened to Mass. startup investing in 2025
2025-12-17
Company data provided by crunchbase