# Senior Manager, Machine Learning Engineering

Hiring organization: [Metropolis Technologies](https://career.thegoodapps.co/organizations/metropolis-technologies)

Canonical page: https://career.thegoodapps.co/jobs/99a8e973-adce-4e45-8e39-42be5f411054

Listed on Metropolis Technologies's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Management
- Location: Seattle, WA
- Salary: 200000 – 250000 USD per year

## Summary

Metropolis seeks a hands-on senior manager to lead machine learning infrastructure and data engineering teams building production AI systems for a computer vision and parking technology platform. The role requires balancing strategic oversight of 4 teams with deep technical involvement in MLOps, data pipelines, and agentic AI deployment.

_Our summary, not Metropolis Technologies's wording._

## Skills named

Apache Kafka, Apache Spark, Computer Vision, ETL, LLMs (Large Language Models), MLOps, Model Deployment, Object Detection, Python, PyTorch, SQL, TensorFlow

## Required

- 10+ years in data and machine learning engineering
- 5+ years in leadership and management
- MS or PhD in computer science or quantitative discipline
- Experience building enterprise-scale ETL pipelines and data governance
- Distributed data processing with Apache Spark or Kafka
- 1+ years deploying agentic AI solutions (LLMs and/or VLMs)
- Technical program management and milestone definition
- Deep learning framework familiarity (TensorFlow or PyTorch)
- SQL and Python proficiency
- Vendor and data provider engagement

## Nice to have

- Large-scale dataset and database tool management
- Cloud ML service deployment with focus on scalability and reliability
- Experience in innovative, high-growth environments

Apply on Metropolis Technologies's site: https://job-boards.greenhouse.io/metropolis/jobs/7710124003