Machine Learning Engineer, Computer Vision

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

As a Machine Learning Engineer at Metropolis, you will accelerate recognition commerce through data innovation. You will be a key leader in Engineering, responsible for designing and building the robust generative data engine and intelligent algorithms that fuel our ML models. Your mission is to bridge data and models through automation, creating the scalable foundation that underpins the predictive, personalized experiences defining the future of the built world.

• Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms
• Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning
• Maintain and revisit innovative methodologies to curate high quality data and annotations
• Design, implement, and maintain the machine learning data pipelines and infrastructure
• Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools
• Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production
• Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation
• Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release
• Foster a culture that views bugs and production issues as opportunities for improvement
• Contribute to the hiring and cultural development within Metropolis Engineering
• Ensure high availability and scalability of Machine Learning systems
• Collaborate with partners to integrate their products seamlessly into the Metropolis platform

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience
• 3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models
• Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
• Strong experience with cloud services, preferably AWS
• Familiarity with Machine Learning model serving infrastructure and best practices
• Knowledge of transactional and analytical database technologies
• Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
• Excellent communication skills, capable of presenting complex technical information clearly

• Experience in high-growth, innovative environments

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 $180,000.00 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-nM1 #LI-Onsite