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Metropolis

Senior Manager, Machine Learning Engineering

Metropolis · Seattle, Washington, United States

Posted about 3 months ago

or apply directly on Metropolis's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Metropolis's roles stay open a median of 80 days
Reposted
No
Salary listed
No
5% of Metropolis's roles list one
Ghost-job risk at Metropolis
high
79 stale, 1 reposted of 80 open
Hiring momentum
123 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Metropolis's own greenhouse board since 2026-08-03. Full hiring picture for Metropolis.

About this role

The Senior Manager of Machine Learning Engineering at Metropolis will lead the technical vision and execution of foundational AI systems. This role involves overseeing data engineering, annotation pipelines, ML infrastructure, and deployment of AI solutions, while also managing a team and collaborating with internal and external partners to build scalable tools and data pipelines. The position requires a balance of strategic leadership and hands-on technical involvement to transition advanced models into production systems.

Our read on this posting2.6out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Metropolis as an employer.

What you need

  • 10+ years of professional experience in data and machine learning engineering
  • 5+ years of experience in leadership and management
  • MS or PhD in computer science and/or a quantitative discipline
  • Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
  • 1+ years experience building data/eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs)
  • Experience managing technical programs, defining milestones, and communicating progress to diverse audiences

Nice to have

  • Manage large scale datasets and database tools for data processing
  • Deploy ML services to the cloud with a focus on scalability and reliability
  • Operate in innovative, high-growth environments

What you get

  • Anticipated base salary of $200,000.00 to $250,000.00 annually
  • Access to or eligibility for healthcare benefits
  • 401(k) plan
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Lucrative stock option plan

Worth weighing

  • 4 days in office requirement may limit flexibility
  • No mention of remote work options
  • Salary range is broad and dependent on various factors
  • Automated employment decision tool may be used in the hiring process

Summarised from Metropolis's posting. Read the full original.

Listed by Metropolis on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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