Facebook AR/VR focuses on delivering Facebook's vision through Virtual Reality (VR) and Augmented Reality (AR). Enabling compelling user experiences on Virtual and Augmented Reality devices requires innovation and co-design across all layers of stack from novel algorithms to custom silicon. Facebook AR/VR team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others. We are seeking a Software Engineer with a background in Deep Learning, Computer Vision, Speech and/or NLP to join our On-device AI team. This team focuses on designing efficient Deep Learning-based solutions to enable compelling user experiences on mobile AR/VR systems - with particular focus on enabling on-device execution for latency, power efficiency and privacy. The ideal candidate will have practical experience in developing deep learning techniques to address challenging problems and achieve high accuracy under deployment constraints such as limited compute resources, execution latency. In this position, you will get exposure to the full stack from user experiences, algorithms down to hardware execution blocks. You will work with the domain experts in vision and assistant-related aspects of Virtual/Augmented Reality to understand the challenges and build state-of-the-art networks to tackle them and then work with the software/hardware team to deploy these solutions on-device.
Oculus 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, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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