Senior Manager, Machine Learning Engineering

Metropolis; Seattle (WA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Stock option plan

Bonus plans

Job summary

Metropolis is seeking a Senior Manager, Machine Learning Engineering in Seattle, Washington. You will lead the technical vision for AI systems, oversee data engineering, ML infrastructure, and deployment of AI solutions. With over 10 years of experience required, you will develop scalable systems, manage a high-performance team, and collaborate across engineering groups. The anticipated salary ranges from $200,000 to $250,000 annually, with additional benefits including healthcare and stock options.

Qualifications

• 10+ years of professional experience in data and machine learning engineering.
• 5+ years of experience in leadership and managing teams.
• Strong experience in distributed data processing.

Responsibilities

• Build and maintain scalable data infrastructure for AI.
• Own the MLOps lifecycle and improve model performance.
• Lead a team of engineers to influence business outcomes.

Skills

Enterprise-scale ETL pipelines

Leadership and management

Distributed data processing

Data/eval pipelines

Deep learning frameworks (e.g. TensorFlow, PyTorch)

SQL

Python

Computer vision systems

Tools

Apache Spark

Kafka

Job description

Senior Manager, Machine Learning Engineering

Seattle, Washington, United States

Who we are

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.

Who you are

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. You are a hands‑on, senior technical leader with a broad dynamic range, capable of providing high‑level strategic direction while remaining technically proficient enough to dive into the weeds with your team. Your mission is to transition state‑of‑the‑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.

What you'll do

• 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 outcomes
• Develop 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
• Collaborate with external vendors and annotation platform providers to ensure high‑quality data for production models
• Partner with other ML leaders (Growth, Edge deployment) and cross‑functional leaders in Hardware, Platform, and Product engineering to align development roadmaps

What we're looking for

• 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
• 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
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Strong proficiency with SQL and Python
• Engage effectively with external data providers and vendors
• Familiarity with computer vision systems and models (e.g. object detection, tracking, segmentation)

While not required, these are a plus:

• 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

4 Days in Office: Metropolis values in‑person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office‑first model, which requires employees to be on‑site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you’ll join a team of world‑class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $250,000.00 USD annually. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short‑term and long‑term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.