metropolis
Senior Manager, Machine Learning Engineering
At a Glance
- Location
- Seattle, Washington, United States
- Work Regime
- onsite
- Experience
- 10+ years
- Posted
- 2026-04-28T14:01:40-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
Metropolis is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and execution of our foundational systems that power our next generation of AI.
You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions.
Your mission is to transition state-of-art models into robust, autonomous production systems that automate complex enterprise workflows.You will partner closely with internal engineering teams and external vendors to build the scalable tools and data pipelines that define the future of recognition economy.
10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms
5+ years of experience in leadership and management, ideally having managed other managers
Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
Responsibilities
Build and maintain scalable, compliant and auditable data infrastructure to serve computer vision and AI pricing use cases
Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration
Own the MLOps lifecycle, including distributed training infrastructure, model registries, and low-latency inference services.
Ensure high availability and observability for all deployed models
Define technical direction, lead and grow a high-performance team of data and ML infrastructure engineers to influence impactful business outcomesDevelop foundational systems to productionize agentic AI, Large Language Models (LLMs) and Vision Language Models (VLMs) solutions for workflow automation to enhance our products
Enable Metropolis’s move into personalization and targeted advertisement through innovative ML data pipelines and feature stores
About the Company
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 you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.