Summary:

　　Reality Labs focuses on delivering Meta'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. The Meta 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 exceptional interns with a background in developing efficient models for AR/VR applications, including, but not limited to, computer vision, speech, sensor fusion, NLP, multi-modal AI. Our team focuses on developing state of the art models with tight constraints on memory and power and on model optimization techniques, e.g., sparsity, quantization, network architecture search, tensor decomposition, etc. The ideal candidate will have practical experience in developing real time models that can achieve high accuracy under deployment constraints such as limited compute and memory resources.

　　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 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.

　　Our internships are twelve (12) - sixteen (24) weeks long and we have various start dates throughout the year.

　　Required Skills:

　　Research Scientist Intern, On-Device AI Model Optimization (PhD) 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:

　　Minimum Qualifications:

　　Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field

　　Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

　　2+ years experience in developing machine learning solutions for problems

　　2+ years programming experience and experience with deep learning framework for prototyping ideas

　　1+ years experience in building deep learning models for mobile or ultra lower power systems

　　Interpersonal experience: cross-group and cross-culture collaboration

　　Preferred Qualifications:

　　Preferred Qualifications:

　　Intent to return to degree-program after the completion of the internship/co-op

　　Publication track record in machine learning conferences and/or journals

　　Experience in optimizing deep learning networks for execution constraints besides just the final accuracy

　　Background in computer vision, speech, natural language understanding, multi-modal AI, multi-sensor tracking/reconstruction, etc

　　Public Compensation:

　　$7,500/month to $11,333/month + benefits

　　Industry: Internet

　　Equal Opportunity:

　　Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta 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 [email protected].