Senior Machine Learning Engineer, Computer Vision

Job Description

Job Description

Who we are

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.

Who you are

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.

What you'll do

• 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

What we're looking for

• 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 leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• 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 $175,000.00 to $215,000.00 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

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, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at View email address on us.fitly.work.