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

Meta - Burlingame, CA

Full-time - Intern

Burlingame, CA

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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. The role involves researching and developing efficient machine learning algorithms, particularly for applications in augmented and virtual reality. Interns will work on cutting-edge systems that facilitate AI assistants powered by large language models (LLMs) and will engage in foundational AI technologies that support AI assistant functionalities. The internship lasts between 16 to 24 weeks with various start dates throughout the year.

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 (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants
• Intent to return to degree program after the completion of the internship

Benefits

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