AI Research Scientist Intern, Multimodal and Multitasking Machine Learning (PhD)

Meta - Burlingame, CA

Full-time - Intern

Burlingame, CA

5,001-10,000 employees

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About the position

Meta Reality Labs Research is seeking an AI Research Scientist Intern focused on multimodal and multitasking machine learning. This internship aims to advance foundational AI technologies, particularly in algorithm/hardware co-design and the acceleration of AI applications for augmented and virtual reality. Interns will engage in research and development of efficient machine learning algorithms, collaborate with interdisciplinary teams, and contribute to the prototyping of experimental systems.

Responsibilities

• Research on design/model/execution of efficient ML algorithms
• Research on novel ML or computational imaging algorithms for applications and optimize existing algorithms
• Research on development and optimization of edge computing algorithms (ML and non-ML)
• Collaboration with and support of other researchers across various disciplines
• Communication of research agenda, progress and results
• Prototyping, building and characterizing experimental systems and custom hardware

Requirements

• Currently has, or is in the process of obtaining a PhD 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 research experience in developing machine learning and computer vision models, optimization of edge computing algorithms, or distributed compute architectures
• 2+ years experience programming in Python/C++
• Experience with Deep Learning frameworks (Pytorch, TensorFlow, etc)
• Interpersonal skills for cross-group and cross-culture collaboration

Nice-to-haves

• Experience in multimodal ML algorithms (object detection, classification, tracking, keyword spotting, ASR, etc)
• Experience in deploying ML algorithms to real-time with mobile platforms
• Experience with NAS or developing and deploying algorithms with hardware constraints
• Experience with pretraining using self-supervised learning
• Experience with tuning LLM
• Experience in privacy preserving ML algorithms
• Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conferences

Benefits

• $7,313/month to $11,333/month compensation
• Health insurance
• Paid holidays
• Flexible scheduling
• Professional development opportunities