The Oculus team at Facebook is helping more people around the world come together and connect through world-class VR hardware and software. With global departments dedicated to VR research, computer vision, haptics, social interaction, and more, Oculus is committed to driving the state of the art forward through relentless innovation. VR’s potential to change the world is immense - and we’re just getting started.
Our Zurich Core Tech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Oculus products. From mixed reality and human interaction to natural inputs and beyond, Core Tech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.
Great virtual reality technology depends on advances in computer vision and machine learning. As a Data Scientist / Computer Vision Scientist Expert at Oculus you'll be solving challenges at the forefront of computer vision technology that transform virtual reality from dream to reality. We're looking for a creative engineer to usher in the next era of human-computer interaction by integrating data-driven solutions and machine learning techniques into the expanding landscape of virtual reality. The Data Scientist will be responsible for providing reports on key metrics to a team of positional tracking experts in order to drive algorithm development based on large amounts of captured data, as well as directing our data collection efforts to identify areas for improvement.
Partner with a cross-functional team of computer vision engineers, product managers, and data collection coordinators to formulate the definition of perceptually good positional tracking.
Provide guidance to data collection teams on test protocols including design of experiments, number of samples, and protocols for data collection.
Implement, analyze, and evaluate telemetry from devices in the field to determine positional tracking metrics meet KPI thresholds.
Align tracking performance with user perception by identifying user-centric dimensions to capture.
Identify tracking performance regressions and automate alerts to product and engineering stakeholders.
Summarize algorithm development, training, and validation of the algorithms in technical reports.
BSc or MSc in Computer Science, Electrical Engineering, Mathematics, Physics, Robotics or related technical field.
5+ years of knowledge working with data analysis languages such as SQL, Python, and R.
3+ years working knowledge of PHP/Hack.
C++ development skills.
Experience working with unstructured data like images/videos.
Experience with algorithm evaluation and determination of success criteria.
Works independently and creatively with minimal guidance.
Applications and resumes to be submitted in English.
PhD in Computer Science, Electrical Engineering, Mathematics, Physics, Robotics or related technical field.
Prior experience working in the field of computer vision, hardware, and/or robotics.
Experience with machine learning frameworks (e.g TensorFlow, Caffe, Torch, etc.).
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