Senior Machine Learning Software Engineer, Metropolis
$170-200k
More information about location
Autonomous commerce platform for urban mobility
Job no longer available
Autonomous commerce platform for urban mobility
21-100 employees
Job no longer available
$170-200k
More information about location
21-100 employees
Company mission
To disrupt traditional city infrastructure to empower the future of urban mobility.
Role
Who you are
- The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production
- You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment
- You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders
- You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done
- BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline
- 5+ years experience in modern software design, development, version control, refactoring, and testing
- 5+ years of experience with C++17 onward and a strong understanding of object-oriented programming
- 3+ years of experience working with C++ OpenCV, SQLLite and MQTT
- Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries
- Experience with ARM Cortex series microcontroller
- Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences
- Previous experience working inside innovative, high-growth environments
What the job involves
- Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products
- As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software
- These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers
- You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem
- Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++
- Participate in all phases of embedded software development, from concept and design to deployment and maintenance
- Identify top-level software requirements and establish development best practices
- Deliver high-quality C++ code in a real-time embedded environment
- Perform optimization on ML models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc
- Implement, manage, and support over-the-air software updates to edge systems
- Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences
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.
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