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 areWe are seeking a Senior Machine Learning Application Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments.
This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.
What you'll do- 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
- 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
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 $150,000.00 USD to $200,000.00 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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Metropolis Technologies Santa Monica, California, USA Office
Santa Monica, CA, United States, 90401
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