Facebook Research Scientist, Machine Perception and Learning (PhD University Grad) in Redmond, Washington
Oculus is a world leader in the design of virtual reality systems. We are currently seeking innovative researchers to achieve great strides in general scene understanding at our research location in Redmond, WA. Within the Facebook Reality Labs (FRL) Surreal Vision team, the aim of this role focuses on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision and large scale online inference and optimization. The focus of this role lies on the intersection of Machine Learning and Machine Perception, exploring the limits of “Always On” machine learning techniques with state-of-the-art geometry estimation and device state estimation techniques. This role enables close collaboration with Facebook AI and applied machine learning groups together with cutting edge device technology development in sensing and computational platforms at Facebook Reality Labs.
Looking at the limit of always on ML within the context of consumer AR devices powered by AI
Research across Machine Perception at the intersections of Deep Learning, reconstruction and state estimation
Large scale distribution of consumer devices operating within a cloud to client computing infrastructure
Analysis of computing data hierarchy from cloud to mobile device client
Understanding size, weight, cost, power, and bandwidth constraints of future consumer devices
Formulation of new ML and data analysis approaches that harness always on device technology
Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of computer vision, machine learning or related field
2+ years experience with statistical analysis of data and mathematical modeling
2+ years experience with developing machine learning, Bayesian filtering, information theory, 3D geometry, and physics based simulation
3+ years experience in C++, Java or other related language such as Torch and TensorFlow
Interpersonal experience: cross-group and cross-culture collaboration
Ability to obtain work authorization in the United States in 2018
Must be available to start employment on or after June 2018
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS, etc.
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at firstname.lastname@example.org or you may call us at +1 650-308-7837.