Senior Machine Learning Engineer, Metropolis
Computer Vision
$150-200k
Autonomous commerce platform for urban mobility
Be an early applicant
Autonomous commerce platform for urban mobility
21-100 employees
Be an early applicant
$150-200k
21-100 employees
Company mission
To disrupt traditional city infrastructure to empower the future of urban mobility.
Role
Who you are
- 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
What the job involves
- 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, itracking, 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
Our take
Driven by computer vision and AI technology, Metropolis offers a seamless parking and checkout experience by turning cars into wallets. This eliminates the need for physical tickets and pay machines, allowing property owners to maximise the financial performance of their parking assets and offer a modern service to customers.
Metropolis aims to revolutionise parking by integrating future mobility solutions, such as autonomous vehicle deployment, charging stations, and eVTOL infrastructure. Its approach includes dynamic pricing to optimise revenue during demand surges.
Co-founded by Alex Israel, a former ParkMe founder, the company has expanded rapidly following a $167M Series B fundraise and partnerships with Premier Parking and Uber. The company's recent acquisition of SP Plus Corporation, funded by a $1.8 billion investment, positions it as a leader in AI-driven mobility solutions. As a pioneer in its category, Metropolis continues to push the boundaries of parking and mobility technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2023
$1.1bn
SERIES C
Jun 2022
$167m
SERIES B
Total funding: $1.3bn
Company benefits
- Equity options - We offer ownership opportunities through stock options
- Wellness benefits - A wellness program designed to support a variety of needs
- Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees
- We subsidize high-quality health insurance coverage for full-time and hourly employees
- 401(k) match - Plan for your future with a 4% company match
- Parental leave - Receive support prior to, during leave, and as you transition back to work
- Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees
- Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work
- Hybrid environment - Magic happens face to face, but we support a flexible working model
Company HQ
Downtown, Santa Monica, CA
Leadership
Alexander Israel
(CEO)Former Vice President & General Manager at INRIX. Co-founder and former COO at ParkMe. BA in Business & Economics at University of Puget Sound.
Travis Kell
(CFO)Former Senior Vice President at Winton Group. Previously Director of Hedge Fund Solutions at BlackRock. BA in Business at University of Puget Sound.
Courtney Fukuda
(Chief of Staff)Formerly hedge fund solutions group at BlackRock. Managed senior relationships with sovereign wealth fund, central banks and other major institutional investors. BA in Economics at Yale University.
Peter Fisher
(CCO)Formerly growth equity Investor at Transamerica Investment Management, BA in Political Science at Boston College.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 30 more jobs at Metropolis