MT
Senior Manager, Machine Learning Engineering
Metropolis TechnologiesSeattle, WA · full time · Management
$200,000 – $250,000
Listed on Metropolis Technologies’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
- Apache Kafka
- Apache Spark
- Computer Vision
- ETL
- LLMs (Large Language Models)
- MLOps
- Model Deployment
- Object Detection
- Python
- PyTorch
- SQL
- TensorFlow
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What they ask for
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