---
title: 'Senior Manager, Machine Learning Engineering at Metropolis'
canonical: 'https://feeny.ai/job/senior-manager-machine-learning-engineering-metropolis-seattle-washington-d5ehxkmqzpy5'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Manager, Machine Learning Engineering at Metropolis

- **Company:** Metropolis
- **Location:** Seattle Washington, United States
- **Posted:** 2026-04-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/metropolis/jobs/7710124003

## Job description

## 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-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
- 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
- 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. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. 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. #LI-AR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

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.

## About Metropolis

## Company Overview
- **One-liner**: Metropolis is an artificial intelligence company that uses computer vision to create checkout-free, frictionless payment and access experiences for physical infrastructure, primarily parking.
- **Entity Type**: Private (raised $1.8B in 2023-2024, plus $1.6B in debt financing in 2025)
- **Headquarters**: Santa Monica, California, USA
- **Founded**: 2017
- **Founders**: Founding team established the company in 2017 (individual founder names not prominently featured in primary company materials)

## Core Business
- Primary industry/industries: Smart Mobility, Computer Vision AI, Parking Infrastructure, Real-World Technology
- Target customers: B2B (real estate operators, parking lot owners, property managers), B2C (drivers who park at Metropolis-enabled locations)
- Mission or purpose statement: "We're reimagining how we live our lives by developing artificial intelligence for the real world, creating an intelligence layer that powers frictionless, precognitive, personalized experiences everywhere."

## Products & Services
- **Metropolis Recognition Platform**: An AI-driven, computer vision-based platform that enables checkout-free, drive-in/drive-out parking. The technology recognizes vehicles and members automatically, eliminating the need for tickets, kiosks, or app interaction at entry and exit.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $1.8B raised (Series B and later financing in 2023-2024), plus $1.6B in financing in 2025. This was cited as the third-largest AI fundraise in 2023 and the largest venture-backed M&A deal of the year.
- **Notable Investors/Partners**: Not explicitly listed in provided materials, but the scale of fundraising and the take-private acquisition of SP+ indicates backing from major institutional investors.
- **Growth Signals**:
    - Became the largest parking network in North America following the take-private acquisition of SP+ in 2024, with over 4,500 locations.
    - Over 1 million new members added every month.
    - Saved members 212+ million minutes through frictionless parking.
    - Reaches more than 50 million customers.
    - Named to Forbes' list of America's Best Startup Employers.

## Competitive Advantages
- **Proprietary Computer Vision Technology**: The company’s primary moat is its industry-leading AI that enables checkout-free, recognition-based access without requiring users to scan, tap, or use an app.
- **Scale as the Largest Parking Operator**: Through the SP+ acquisition, Metropolis now operates the largest parking network in North America, creating an unmatched physical footprint and data advantage.
- **Data Network Effect**: Each parking transaction feeds the AI model, making the platform smarter and more responsive over time across thousands of locations.

## Strategic Focus
- **Expanding the "Recognition Economy"**: Metropolis is focused on building a platform that goes beyond parking to make all real-world infrastructure responsive, personalized, and frictionless.
- **AI-Driven Infrastructure**: The company is developing an "intelligence layer" for physical spaces, aiming to eliminate repetitive, analog tasks in everyday life (e.g., payments, access control).
- **Growth Through M&A**: The acquisition of SP+ was a landmark deal that instantly scaled the network, and the company continues to seek integration and expansion opportunities.

## Why Work Here
- **Office-First Culture**: Metropolis values in-person collaboration. Corporate team members are required to be on-site at least four days a week. Offices are located in Santa Monica (HQ), Austin, Chicago, Nashville, New York, Seattle, and Chennai, India.
- **Best-in-Class Benefits**: The company offers a generous PTO package, paid holidays (with double pay for those working), parental leave, a 4% 401(k) match, subsidized health insurance, wellness benefits, short- and long-term disability coverage, and life insurance.
- **Compensation**: Stock option plan and bonus plans are available for all employees. Example base salary for a Senior Data Engineer in Seattle is listed at $160,000/year (actual base salary is determined by role, experience, and location).
- **Culture**: Three core values drive the company: We are leaders, We are innovators, and We are owners. The culture emphasizes agility, iteration, ownership, and challenging each other with respect.
- **Scale & Impact**: Employees work on a platform used by 50 million people, with massive real-world infrastructure and an AI-first approach. The company is growing rapidly and is described as "product-led" and "transformational."
- **Open Roles**: As of mid-2026, the company has 130 open positions, with significant hiring in Engineering (Cloud Infrastructure, Machine Learning, Software Engineering) and Data Engineering.

## Sources
1. [metropolis.io (Homepage)](https://www.metropolis.io/)
2. [metropolis.io (About/Company)](https://www.metropolis.io/about)
3. [metropolis.io (Careers)](https://www.metropolis.io/careers)
4. [Greenhouse (Metropolis Jobs)](http://job-boards.greenhouse.io/metropolis)
5. [Built In (Metropolis Technologies)](https://builtin.com/company/metropolis-technologies)

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