Senior Manager, Machine Learning Engineering

What this role involves

Metropolis is seeking a Senior Manager of Machine Learning Engineering to lead the technical vision for foundational systems. The role oversees data engineering, annotation pipelines, ML infrastructure, and deployment of agentic AI. Responsibilities include building scalable data infrastructure, managing MLOps, and growing a high-performance team.

Skills this posting asks for

• data engineering
• annotation pipelines
• ml infrastructure
• agentic ai
• apache spark
• kafka
• cloud native data storage
• sql
• python
• tensorflow
• pytorch
• computer vision
• llms
• vlms
• etl pipelines
• data governance
• mlops
• distributed data processing
• model registries
• inference services

Requirements

• 10 years of experience
• Level: manager

From the employer’s posting

Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere…