Senior Machine Learning Engineer I, Physical Sciences

What this role involves

This role focuses on building and operating end-to-end machine learning workflows for physical sciences applications. The engineer will design ML pipelines, productionize models, and collaborate with domain scientists. Required skills include Python, PyTorch, cloud-based deployment, and strong software engineering fundamentals.

Skills this posting asks for

• python
• pytorch
• hugging face
• fastapi
• grpc
• docker
• kubernetes
• cloud infrastructure
• llms
• multimodal models
• databases
• rag
• cuda
• triton
• distributed training
• workflow orchestration
• data provenance
• large-scale compute
• open-source contribution

Requirements

• Level: senior

From the employer’s posting

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 a diversity scientific use cases in materials, chemistry and physical sciences. Your work will ad…