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The Company
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.
The Role
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.
Responsibilities
- Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, image classification, tracking, OCR, and video analytics.
- 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.
Qualifications
- MS or PhD (preferred) 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). Experience with C++ is a plus.
- 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 in high-growth, innovative environments is a plus.
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus.
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 $180,000.00 to $210,000.00 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-AR1 #LI-Hybrid
Join us in making a difference as we build our future. Metropolis is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. Metropolis prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Top Skills
What the Team is Saying
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 4,000 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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Metropolis Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
The best ideas often come from face-to-face interactions! Our flexible work model includes three office days (Tuesdays, Wednesdays, plus one) and two remote days. We'll specify which roles are eligible for remote work based on responsibilities.
