Research Scientist, AI Research

Research Scientist, AI Research

AR/VR | Menlo Park, CA

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.

Responsibilities

  • Define, plan and execute cutting-edge deep learning research to advance AR/VR experiences.
  • Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution.
  • Collaborate with other research scientists and software engineers to develop innovative deep learning techniques for vision, speech, user interface and other use-cases.
  • Collaborate with software and hardware engineers to develop tradeoff curves for accuracy vs. the runtime resources/constraints such as latency, energy.
  • Communicate the experimental results and the recommendations clearly, both within the group as well as to the cross-functional groups.

Minimum Qualifications

  • B.S. in Computer Science or equivalent experience.
  • Experience in developing machine learning solutions for problems.
  • Proven software skills.
  • Programming experience and experience with deep learning framework for prototyping ideas.
  • Knowledge of algorithm design and performance profiling.

Preferred Qualifications

  • Publication track record in machine learning conferences and/or journals.
  • Knowledge of computer architecture concepts.
  • Experience in optimizing deep learning networks for execution constraints besides just the final accuracy.
  • Background in computer vision, speech, or natural language understanding.
  • Interpersonal experience: cross-group and cross-culture collaboration.


Ready to Join?

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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.

Oculus is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Oculus is looking to hire a Research Scientist, AI Research at their Menlo Park, CA, USA location. Job contains the tags VR, AR, Unity and AI.
Job discovered on 8/28/2020

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