Computer Vision Engineer, Perception

Staff Computer Vision Engineer, Perception

4 days ago Be among the first 25 applicants

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Metropolis is looking for a Staff Computer Vision Engineer to lead the design and development of perception algorithms and systems that power Metropolis’s "AI for the Real World". We are developing a broad suite of computer vision systems that span both edge and cloud environments, and enable checkout-free experiences in a variety of applications. As a senior technical leader, you will drive the optimization, integration, and validation of advanced perception models for real-time deployment on edge and cloud platforms.

This will include solving complex challenges in object detection, tracking, and recognition, and may span video analytics and multi-modal systems. You will work closely with cross‑functional teams throughout the entire perception system lifecycle, from development to rigorous testing, while driving innovations in computer vision and machine learning that directly enhance the accuracy, reliability, and performance of applications core to our company.

Excellence in this position involves leading innovation in computer vision, delivering impactful results, and fostering growth through technical leadership and mentorship within the ML team. You must be able to thrive in a entrepreneurial environment, working collaboratively in a fast-paced environment that often has multiple stakeholders. You won’t be afraid to break new technological ground at Metropolis, and are more than willing to roll up your sleeves, dig in, and get the job done.

If you have a background in computer vision and perception, and are excited by developing systems that go into the real world to solve real problems, please reach out!

• 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…