Metropolis Technologies · 5 months ago
Senior Machine Learning Engineer, Computer Vision
Seattle, WA
Full-time
Onsite
Senior Level
$150K/yr - $200K/yr
5+ years expMetropolis is an artificial intelligence company specializing in computer vision technology to create frictionless, checkout-free experiences. The Senior Machine Learning Engineer will lead the development of advanced multi-camera perception and localization systems, focusing on algorithms for object detection, scene understanding, and visual search systems.
Artificial Intelligence (AI)Computer VisionMachine LearningParkingSoftware
Responsibilities
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
Qualification
Required
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
Benefits
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
Company
Metropolis Technologies
Metropolis is building AI for the real world.
10001+ employees
H1B Sponsorship
Metropolis Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2021 (3)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$3.53BKey Investors
LionTreeJP Morgan Chase3L Capital
2025-11-06Series D· $500M
2025-11-06Debt Financing· $1.1B
2023-10-05Series C· $1.05B
Leadership Team
Alexander Israel
Co-Founder & CEO
Travis Kell
Co-Founder & Chief Strategy Officer
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