Senior Manager, Machine Learning Engineering

Metropolis

Seattle, United States
Base: $200,000.00 usd to $250,000.00 usd annually;...
On-site
10+ years data and ml engineering experience
5+ years leadership and management experience
Distributed data processing with apache spark
Metropolis is pioneering the Recognition Economy by creating artificial intelligence that makes the real world responsive

Job Summary

  • Metropolis is pioneering the Recognition Economy by creating artificial intelligence that makes the real world responsive.
  • The role involves overseeing four critical pillars: data engineering, annotation pipelines, ML Infrastructure, and Agentic AI solutions.
  • Employees are required to work in-office at least four days a week to foster organic interactions and innovation.

Matching Summary

Metropolis is pioneering the Recognition Economy by creating artificial intelligence that makes the real world responsive.

Salary

Base: $200,000.00 USD to $250,000.00 USD annually; Bonus/Equity: Stock option plan and bonus plans available; Benefits: Healthcare, 401(k), disability coverage, life insurance

Skills & Requirements

Must-have

  • 10+ years data and ML engineering experience
  • 5+ years leadership and management experience
  • Distributed data processing with Apache Spark
  • MLOps lifecycle and model registry ownership
  • Agentic AI and LLM/VLM deployment experience

Nice-to-have

  • Experience managing large scale datasets
  • Cloud deployment focus on scalability
  • Innovative high-growth environment experience
  • External vendor collaboration skills

Key Requirements

  • MS or PhD in computer science or quantitative discipline
  • Strong proficiency in SQL and Python
  • Familiarity with deep learning frameworks like TensorFlow or PyTorch
  • Computer vision systems expertise (object detection, tracking)

Work Rights

Not specified

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