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.
Who you areMetropolis is looking for a Staff Computer Vision Engineer to set technical direction and to lead the design and development of computer vision (CV) algorithms and systems that power Metropolisʼs “AI for the Real World”. We are developing a broad suite of CV-enabled systems that span both edge and cloud environments, and enable checkout-free experiences in a variety of applications (e.g. parking, fueling, drive-thrus). As a senior technical leader within the Advanced Technologies Group (ATG), you will drive the architecture, optimization, integration, and validation of advanced perception models for 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 algorithms 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 wonʼt 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.
What you'll do- Architect and develop advanced computer vision algorithms for tasks such as object detection, tracking, semantic segmentation, and scene understanding
- Take initiative to identify gaps, bottlenecks, and opportunities in system design and performance —then drive solutions from concept through deployment
- Define and implement key metrics and KPIs to rigorously evaluate 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 across 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 algorithms 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
- M.S. (with 8+ years of industry experience) or Ph.D. (with 5+ years of industry experience) in Computer Science, Electrical Engineering, Robotics, or related field with a focus on computer vision or machine learning
- Consistent track record of developing and deploying perception algorithms for real-world applications (e.g. autonomous driving) to deliver business impact
- Strong proficiency in modern deep learning frameworks (e.g., PyTorch, TensorFlow, Qualcomm Chip) and classical CV libraries (e.g., OpenCV)
- Deep expertise in two or more of: (2D/3D) object detection, multi-object tracking, segmentation, depth estimation, localization, or sensor fusion
- Solid experience with deployment of ML models on edge devices and Cloud Platform (e.g., GPU/embedded)
- Excellent programming skills (5+ years or more) in Python and/or C++
- Strong experience (3+ years or more) 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)
- Prior experience leading computer vision teams and owning production deployments highly desirable
- Publications (CVPR, NeurIPS, ICML, etc) or patents in computer vision or applied machine learning preferred
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000.00 USD to $250,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for 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. #LI-AR1 #LI-Onsite
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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