Senior 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.

We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team you will play a critical role in designing developing and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection tracking OCR video analytics and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning innovative thinking and a passion for data-driven solutions.  

• Design develop and deploy advanced computer vision models for real-world applications including object detection tracking OCR image search and scene understanding
• Build and optimize deep learning models ensuring high accuracy performance and scalability for deployment in production environments
• Explore and integrate multi-modal approaches leveraging visual textual and other data modalities for robust solutions
• Collaborate with cross-functional teams including data engineers and software engineers to deliver end-to-end solutions
• Lead the design and implementation of scalable pipelines for data processing model training and model deployment
• Optimize models for performance on various hardware platforms including CPUs GPUs and edge devices
• Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives
• Mentor junior team members providing technical guidance and fostering professional growth
• Write clean efficient and maintainable code while adhering to best practices in software engineering and machine learning

• PhD in Computer Science Engineering or a related field or equivalent work experience
• 5+ years of hands-on experience in machine learning and computer vision with a strong track record of deploying models into production
• Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
• Strong experience with model optimization (e.g. quantization pruning) and deployment on various platforms (cloud edge or mobile)
• Familiarity with cloud platforms (AWS GCP or Azure) containerization (Docker) and orchestration (ECS Kubernetes)
• Proven experience in building and maintaining data pipelines (e.g. Airflow)
• 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 with C++
• Experience in high-growth innovative environments
• Publications in top-tier conferences (e.g. CVPR ICCV NeurIPS) are a strong plus

4 Days in Office: 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

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 $150000.00 to $200000.00 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

What We Do

Metropolis Technologies Inc. is an artificial intelligence company whose computer vision platform enables checkout-free payment experiences for the real world. Its proprietary AI-driven technology reaches more than 50 million customers while reducing costs increasing transparency and capturing additional revenue for real estate partners. Following its take-private acquisition of SP+ Metropolis is now the largest parking network in North America with more than 4000 locations. To learn more about Metropolis please visit www.metropolis.io.

Why Work With Us

We’re not your typical technology company. We’re world-class software and hardware engineers we’re neighborhood urbanists and operators we’re caring customer support specialists we’re nerdy data scientists and machine learning engineers we’re designers and architects… and many things in-between and beyond.

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