Metropolis Technologies · 2 weeks ago
Senior Machine Learning Test Engineer
Metropolis Technologies is an artificial intelligence company that specializes in computer vision technology aimed at creating frictionless, checkout-free experiences. They are seeking a Senior Machine Learning Test Engineer to design and execute robust test strategies for their advanced perception systems, collaborating closely with various engineering teams to ensure system validation and reliability.
Artificial Intelligence (AI)Computer VisionMachine LearningParkingSoftware
Responsibilities
Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines
Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases
Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies
Develop tools for test data generation, synthetic validation, and visualization of perception outputs
Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness
Investigate, root-cause, and document bugs and issues across the perception stack
Drive continuous improvement in test coverage, test automation, and system reliability
Qualification
Required
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field
5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production
Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest
Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions
Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry
Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments
Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV
Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments
Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim
Excellent communication skills with a strong ownership mindset and the ability to work independently
Benefits
Healthcare benefits
A 401(k) plan
Short-term and long-term disability coverage
Basic life insurance
A lucrative stock option plan
Bonus plans
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
Recent News
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-13
BiometricUpdate.com
2025-12-27
globalventuring.com
2025-12-27
Company data provided by crunchbase