The right candidate will have a broad machine learning background that includes having shipped multiple systems to production, as well as prior team leadership experience. You must be able to thrive and succeed in an entrepreneurial environment, 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. If you have a background in machine learning, computer vision, pricing, and are interested in developing systems that go out into the real world, please reach out!
- Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact.
- Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed.
- Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring.
- Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields.
- Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems.
- Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork.
- Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.
- Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.
- PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred.
- 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain.
- 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams.
- Expert level knowledge in Python and SQL for model development and statistical analysis.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure).
- Strong foundation in data structures, algorithms, and optimization techniques.
- Experience with common program management (MS Project, Visio, etc.) and
productivity (Confluence, Jira, etc.) tools. - 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 is a
plus. - Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.
#LI-NM1 #LI-Onsite
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, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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
OnSite Workspace
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.
