Senior Machine Learning Engineer, Metropolis
Computer Vision
$150-200k
4 days a week in office ( Santa Monica, CA)
Autonomous commerce platform for urban mobility
Be an early applicant
Autonomous commerce platform for urban mobility
21-100 employees
Be an early applicant
$150-200k
4 days a week in office ( Santa Monica, CA)
21-100 employees
Company mission
To disrupt traditional city infrastructure to empower the future of urban mobility.
Role
Who you are
- This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence
- M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field
- 5+ years of industry experience in computer vision, image retrieval, or perception systems
- Strong background in object detection, tracking, and scene understanding using multi-camera inputs
- Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools
- Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV
- Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization
- Knowledge of multi-view geometry, and cross-camera identity association
- Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals
- Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication)
- Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm)
- Publications or patents in the fields of visual search, localization, or multi-camera perception
What the job involves
- We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies
- You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments
- Design and implement algorithms for multi-camera object detection, classification, and persistent tracking
- Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams
- Develop cross-camera fusion and localization methods for consistent identification and positioning of objects
- Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching
- Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues
- Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness
- Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment
- Investigate system-level issues, drive debugging efforts, and improve model and system performance
- Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval
Our take
Driven by computer vision and AI technology, Metropolis offers a seamless parking and checkout experience by turning cars into wallets. This eliminates the need for physical tickets and pay machines, allowing property owners to maximise the financial performance of their parking assets and offer a modern service to customers.
Metropolis aims to revolutionise parking by integrating future mobility solutions, such as autonomous vehicle deployment, charging stations, and eVTOL infrastructure. Its approach includes dynamic pricing to optimise revenue during demand surges.
Co-founded by Alex Israel, a former ParkMe founder, the company has expanded rapidly following a $167M Series B fundraise and partnerships with Premier Parking and Uber. The company's recent acquisition of SP Plus Corporation, funded by a $1.8 billion investment, positions it as a leader in AI-driven mobility solutions. As a pioneer in its category, Metropolis continues to push the boundaries of parking and mobility technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2023
$1.1bn
SERIES C
Jun 2022
$167m
SERIES B
Total funding: $1.3bn
Company benefits
- Equity options - We offer ownership opportunities through stock options
- Wellness benefits - A wellness program designed to support a variety of needs
- Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees
- We subsidize high-quality health insurance coverage for full-time and hourly employees
- 401(k) match - Plan for your future with a 4% company match
- Parental leave - Receive support prior to, during leave, and as you transition back to work
- Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees
- Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work
- Hybrid environment - Magic happens face to face, but we support a flexible working model
Company HQ
Downtown, Santa Monica, CA
Leadership
Alexander Israel
(CEO)Former Vice President & General Manager at INRIX. Co-founder and former COO at ParkMe. BA in Business & Economics at University of Puget Sound.
Travis Kell
(CFO)Former Senior Vice President at Winton Group. Previously Director of Hedge Fund Solutions at BlackRock. BA in Business at University of Puget Sound.
Courtney Fukuda
(Chief of Staff)Formerly hedge fund solutions group at BlackRock. Managed senior relationships with sovereign wealth fund, central banks and other major institutional investors. BA in Economics at Yale University.
Peter Fisher
(CCO)Formerly growth equity Investor at Transamerica Investment Management, BA in Political Science at Boston College.
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