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

Research Scientist Intern, On-Device AI Model Optimization (PhD)
Location pin icon
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, compression, 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.
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 on CNN, LLM and multimodal models
  • Collaborate with other research scientists and software engineers to develop innovative deep learning techniques, such as quantization, compression, pruning etc, 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
  • 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
  • Experience in developing machine learning solutions for problems
  • Experience and experience with deep learning framework for prototyping ideas
  • Experience in building deep learning models for mobile or ultra lower power systems
Preferred Qualifications
  • Intent to return to degree-program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences in machine learning conferences such as ICML, ICLR, NeurIPS etc 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, LLM training/inference, multi-modal AI, multi-sensor tracking/reconstruction, etc
  • Experience working and communicating cross functionally in a team environment
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$7,500/month to $11,333/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.