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Senior Machine Learning Engineer I, Physical Sciences at Lila Sciences · LumiJobs

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Lila Sciences· Posted Jul 27, 2026

Senior Machine Learning Engineer I, Physical Sciences

Alewife, Cambridge, MAfull timeOn Site

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senior

$148k–$198k

H1B: no

Lila Sciences Senior Machine Learning Engineer responsible for owning models and agentic workflows end to end, from research code to deployed, monitored services. Builds integration layers and production AI/ML pipelines ensuring efficiency and reliability.

Responsibilities

Lila's Physical Science AI team uses AI to accelerate discovery in materials and chemistry. It’s a core part of Lila's mission to build Scientific Superintelligence and solve some of humanity’s most important challenges. As a Machine Learning Engineer, you’ll be the bridge between research and production. You’ll take models and agentic workflows built by our scientists and ML researchers and turn them into reliable, scalable systems that run on our platform every day. What matters most is strong software engineering and real experience shipping ML systems to production. A scientific background is a plus, but curiosity and a passion for discovery are what will make you thrive here.
What You'll Be Building
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.

Qualification

BS/MS/PhD in Computer ScienceExperience with workflow orchestration

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) 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.

Preferred

Contributions to open-source ML or scientific software.
Experience or strong interest in building with AI agents (e.g., tool calling, multi-step workflows).
Experience with workflow orchestration, data provenance, or large-scale compute environments.
Exposure to scientific domains (materials, chemistry, or physics) and their data formats, simulations, or benchmarks.
Performance and memory optimization for training or inference (e.g., mixed precision, distributed training, GPU profiling, efficient model serving).

Benefits

Dental
Vision
Equity/RSU
Parental Leave
Life Insurance

Company

Lila Sciences

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Source: greenhouse

Active within the past hour

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PythonPyTorchHugging FaceFastAPIcontainersorchestration

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