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About us:
Be part of an exciting, well-funded startup changing the world of retailRadar`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 alikeRadar`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 storesThis 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:
We are looking for machine learning engineers to help build the next generation of the radar platformThis role involves direct collaboration with the core research team to bring cutting edge machine learning and computer vision applications into production.
Responsibilities:
Work with the research team to productionize state-of-the-art machine learning and computer vision algorithms
Select, design and develop the tooling and infrastructure required to support the end-to-end ml lifecycle
Establish and extend best practices for mlops at radar
Qualifications:
Bachelor`s degree in computer science or a relevant field
4+ years of relevant industry experience in software engineering and/or machine learning
Strong proficiency with python and c++, as well as relevant packages such as pytorch and tensorflow
Experience with the design, development and maintenance of highly performant and reliable backend systems
Experience with prototyping, benchmarking and productionization of end-to-end machine learning / deep learning applications
Exceptional communication and collaboration skills
Preferred:
Master`s degree in computer science or a relevant field
Experience working with video streaming and encoding / decoding
Experience working with real-time distributed systems and/or edge computing
Experience with the setup and operation of computing clusters for modern deep learning workloads
Experience in deploying ml algorithms in resource-restricted environments such as embedded systems
Strong familiarity with modern mlops tooling and workflows
What we`re looking for in teammates
Technology like what we`re building doesn`t happen on its ownIt is the result of a collaborative environment and the hard work of passionate, dedicated individuals working intelligently towards a common goalWe are looking for exceptional people to join our growing team and have a positive impact on our culture, technology, and product from day oneWe deeply value humility, curiosity, and a positive attitude and you should as wellYou should also believe that mutual respect is the foundation of any healthy and productive relationshipYou should be unafraid to ask questions or challenge responses no matter how simple or complexMost 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 growAccomplishing 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 effortWe`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` problemsBut this passion doesn`t mean we live unbalanced livesWe have families and passions outside of work, and we know that the best work comes from sharp, rested peopleWe 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 dayTheir input and insights are our clearest guide to building what they need; we respect our partners and clients, and listen closely to their feedback.
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Job activity
Posted 30+ days ago
