Research Scientist Intern, Foundation Model Optimization (PhD)

Key Skills

Applied Machine Learning, Augmented Reality (AR), Computer Graphics, Computer Vision (CV), Deep Learning, Framework, Large Language Models - LLMs, Natural Language Understanding-NLU, Optimization, Prototyping, Sensor fusion Algorithms, Virtual Reality (VR)

Job Description

Meta Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). 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 novel solutions that optimize computational efficiency for training and inference of foundational models for AR/VR applications, including, but not limited to, computer vision, speech, sensor fusion, NLP, multi-modal AI. Models of interest can range from foundation models, Segment Anything (SAM) to Large Language Models (LLMs). The ideal candidate will have strong expertise in building efficient models, proposing efficient training algorithms, and accelerating foundation models.

In this position, you will work with the domain experts to understand the challenges and build state-of-the-art foundational models to tackle them.

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Foundation Model Optimization (PhD) Responsibilities

• Lead and contribute to cutting-edge foundation model research that leads to publications on top-tier CV/ML conferences
• 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

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field
• 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
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

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