Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Core
Building and operating end-to-end, scalable machine learning workflows to solve scientific use cases in materials, chemistry, and physical sciences.
Role type
Senior IC machine learning engineer (physical sciences)
Builds
End-to-end ML pipelines, productionized models and services, CI/CD workflows, automated evaluations
Domain
Physical sciences (materials, chemistry, physics) + Machine Learning
Deliverable
production ML models
Required skills
Python software engineering, machine learning frameworks, model deployment in production systems, debugging and profiling, cross-functional collaboration
Preferred skills
GPU optimization, workflow orchestration, open-source ML contributions
Technologies
PyTorch, Huggingface, FastAPI, GRPC, containers, cloud infra, LLMs, multimodal models, RAG
Responsibilities
Design, implement, and maintain end-to-end ML pipelines; Productionize models and services with robust testing and observability; Collaborate with domain scientists to translate research insights into scalable systems; Contribute to technical design reviews and mentoring
Seniority
Senior, hands-on IC