Ubiquity6 is working on some of the most compelling challenges in computer vision and augmented reality. Our mission is to bring people together in physical spaces by building a platform to enable persistent, massively shared augmented reality experiences. Ubiquity6 was founded in 2017 and has raised $37.5M from Benchmark, Index Ventures, First Round Capital, Kleiner Perkins Caufield Byers, and Google’s Gradient Ventures.
Ubiquity6 offers a wide range of benefits designed to help you and your family live life well. We offer unlimited PTO, flexible work hours, work-from-home, remote positions, medical and dental benefits including family coverage, and more. For local employees we offer delicious catered lunches from the best restaurants in San Francisco, a kitchen fully-stocked with healthy snacks, a bike room, and a centrally located office in downtown San Francisco accessible by bicycle and public transportation.
Ubiquity6 is committed to recruiting, developing and retaining the most talented people from a diverse candidate pool. We have an inclusive workplace that supports the diverse cultures, backgrounds, perspectives, skills, and experiences of every team member. Women, minorities, queer candidates, candidates with physical or cognitive disabilities, and candidates with non-traditional backgrounds are strongly encouraged to apply. If you are talented, passionate, and excited about building the spatial internet and a shared reality, please apply!
If you need assistance or an accommodation due to a disability, you may contact us at [email protected]
You will be responsible for improving the algorithms driving our ability to produce high quality, 3D maps using just a phone as a sensor. These algorithms are the underlying workhorse behind our global mapping pipeline, which allows us to precisely localize and track players across the world, allowing us to build novel AR multiplayer experiences that are pinned to physical locations.
Strong computer science foundation with focus on vision or robotics (MS or equivalent experience preferred)
* Experience with geometric computer vision (SfM, SLAM, etc)
* Experience deploying computer vision algorithms in the cloud a plus
* Experience with large packages that are often used (OpenCV, OpenGV, etc)