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Engineering Manager (Computer Vision & Machine Learning) - RADAR

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Engineering Manager (Computer Vision & Machine Learning)
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Job Description

About Us

Be part of an exciting, well-funded startup changing the world of retail. RADAR’s mission is to revolutionize customer experience in retail through precise identification of inventory in the stores and distribution centers, completely transforming the in-store experience for employees and customers alike. RADAR's proprietary hardware and software platform combines RFID, Computer Vision and AI to provide hyper-precise, real-time location of every product and person in physical stores. This unprecedented capability enables retailers to automate in-store inventory management, analytics, and checkout...and this is just the beginning of what we hope to accomplish together.

About The Job

The Engineering Manager for the CV/ML team will lead a team of CV/ML engineers to develop a solution to enable Product-People association using Computer Vision, RFID and Machine Learning models. The Manager will collaborate with product teams and leadership team to set the team’s roadmap, manage and prioritize feature development.
  • Deliver robust, well-tested, and fully documented CV / ML modules to serve the use cases
  • Assess, design and implement state-of-the-art algorithms for large-scale production deployments
  • Continuously improve the efficiency, robustness, and cost of existing modules
  • Collaborate with system architects, designers, and engineers to support the development of robust machine learning systems
  • Work with Product Management to prioritize feature development
  • Build roadmaps, engineering plans, and schedule estimates
  • Assess and recommend technology choices and directions in consideration of cost-benefit trade-offs
  • Identify infrastructure and architectural investment needs
  • Perform code reviews and ensure proper design and delivery
  • Promote best practices and establish team processes
  • Hire, develop, and lead an inclusive, engaged, and high performing team
  • 3+ years of experience managing a team working on computer vision, machine learning and/or data science
  • 5+ years of relevant work experience as a CV Engineer, Data Scientist, Machine Learning Engineer, or related role
  • Strong proficiency in Python and relevant tools / packages (Tensorflow / PyTorch, OpenCV, NumPy, Pandas, etc.)
  • Experience with both traditional CV techniques as well as modern deep learning approaches
  • Experience in the large-scale collection, annotation and management or data
  • Master’s degree in computer science, CV, ML or a related field


  • PhD in computer science, CV, ML or a related field
  • Experience in designing and working with distributed multi-camera systems
  • Experience in deploying ML algorithms in resource-restricted environments such as embedded systems
  • You have prior experience working at a startup

What We’re Looking For In Teammates

Technology like what we’re building doesn’t happen on its own. It is the result of a collaborative environment and the hard work of passionate, dedicated individuals working intelligently towards a common goal. We are looking for exceptional people to join our growing team and have a positive impact on our culture, technology, and product from day one. We deeply value humility, curiosity, and a positive attitude and you should as well. You should also believe that mutual respect is the foundation of any healthy and productive relationship. You should be unafraid to ask questions or challenge responses no matter how simple or complex. Most importantly, you should value honest and direct communication as you recognize that this is the best way for any individual or team to continuously learn and grow. Accomplishing our collective goals will be fun but it will also be hard; you should be in pursuit of an ongoing and rewarding challenge!

What It’s Like To Work With Us

We’re passionate about the technology we’ve created and what we’re building, but we know that changing any industry and creating a successful company will take balance, maturity, and a sustained effort. We’ve combined retail industry expertise, amazing engineers with experience shipping real-world hardware and software solutions, and a team of brilliant minds who are not afraid to focus on solving “impossible” problems. But this passion doesn’t mean we live unbalanced lives. We have families and passions outside of work, and we know that the best work comes from sharp, rested people. We respect each other and each of our contributions, and we believe that the best solutions will come from a diversity of ideas and perspectives.

Finally, we build our products with deep empathy for the people who will use them every day. Their input and insights are our clearest guide to building what they need; we respect our partners and clients, and listen closely to their feedback.

RADAR Headquarters Location

Denver, CO

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RADAR Company Size

Between 20 - 50 employees

RADAR Founded Year


RADAR Total Amount Raised


RADAR Funding Rounds

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  • Series A

    $10,300,000 USD

  • Seed

    $3,100,000 USD