On-Device AI & AR/VR Model Optimization Intern

Meta; Menlo Park, Burlingame (CA, CA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta Reality Labs seeks interns to advance AR/VR machine learning models optimized for on-device deployment. You will develop efficient, real-time models for vision, speech, NLP, and multimodal AI, collaborating with hardware teams to bring ideas to reality.

Ideal candidates are pursuing a PhD in CS or EE, have work authorization, a track record of ML research and first-author publications, and experience with LLMs or multimodal reasoning models.

Qualifications

• Pursuing a PhD in CS, EE, or related field.
• Experience building ML models for AR/VR.
• Strong programming and deep learning framework skills.
• First-author publications at top ML/AI conferences.
• Experience training and running inference on LLMs and multimodal models.
• Familiarity with model optimization techniques for on-device deployment.
• Proven research and software engineering through internships or GitHub.

Responsibilities

• Develop efficient ML models for AR/VR on-device.
• Collaborate with domain experts and hardware teams.
• Publish research and contribute to codebases.
• Prototype ideas using DL frameworks.

Skills

ML solutions

On-device ML

Multimodal ML

Publications

Python

DL frameworks

GitHub

Education

PhD (pursuing) in CS/EE or related field

Tools

GitHub

Job description

Meta Reality Labs seeks interns to advance AR/VR machine learning models optimized for on-device deployment. You will develop efficient, real-time models for vision, speech, NLP, and multimodal AI, collaborating with hardware teams to bring ideas to reality.

Ideal candidates are pursuing a PhD in CS or EE, have work authorization, a track record of ML research and first-author publications, and experience with LLMs or multimodal reasoning models.