Metropolis Technologies · 5 months ago
Staff Computer Vision Engineer, Perception
Metropolis is an artificial intelligence company focused on creating checkout-free experiences using computer vision technology. They are seeking a Staff Computer Vision Engineer to lead the design and development of perception algorithms and systems, driving innovations that enhance the accuracy and performance of applications.
Artificial Intelligence (AI)Computer VisionMachine LearningParkingSoftware
Responsibilities
Architect and develop advanced perception algorithms for tasks such as object detection, tracking, semantic segmentation, and scene understanding
Take initiative to identify gaps, bottlenecks, and opportunities in perception performance and system design—then drive solutions from concept through deployment
Define and implement key metrics and KPIs to rigorously evaluate perception system accuracy, robustness, and scalability across diverse real-world conditions
Drive system-level debugging and root cause analysis for perception failures in production environments
Collaborate with hardware, ML, and software engineering teams to improve data pipelines, model deployment frameworks, and sensor configurations
Mentor and lead by example, promoting best practices in scalable architecture, model evaluation, and engineering excellence within the computer vision team
Research, prototype, and integrate new machine learning or deep learning approaches applicable to perception problems
Participate in cross-team initiatives to improve system reliability, labeling quality, simulation-based validation, optimizing perception models and production-readiness of perception models
Stay ahead of the curve by researching, prototyping, and integrating emerging deep learning techniques and tools into our perception stack
Qualification
Required
M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field with a focus on computer vision or machine learning
8+ years of industry experience in developing and deploying perception algorithms in real-world applications
Strong proficiency in modern deep learning frameworks (e.g., PyTorch, TensorFlow, Qualcomm Chip) and classical CV libraries (e.g., OpenCV)
Deep expertise in one or more of: object detection, multi-object tracking, segmentation, depth estimation, or sensor fusion
Solid experience with deployment of ML models on edge devices and Cloud Platform (e.g., GPU/embedded)
Excellent programming skills in Python or C++
Strong understanding of 2D/3D geometry and image processing
Experience working with large-scale datasets, including data curation, annotation, evaluation, Airflow pipeline and messaging platforms (e.g. MQTT, Kafka, or ROS2)
Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
Familiarity with ML model training, Data Annotation and Model Evaluation
Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
Proven track record of technical leadership and mentorship in high-performing engineering teams
Publications or patents in computer vision or applied machine learning
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.
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
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