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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
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.
The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and Machine Learning 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.
Responsibilities
- 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 Machine Learning 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.
Requirements and Qualifications
- 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
- Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.
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 $170,000.00 to 200,000.00 annually. The actual base pay 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 pay 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.
