Multimodal ML Research Intern — Edge AI for AR/VR

Meta; Redmond; On-site; AUD 17,000 - 21,000; Full time

Job summary

Meta Reality Labs Research is seeking interns to advance AI/ML applications for AR/VR, focusing on co-design of algorithms and hardware for real-time performance. Candidates should have a PhD-level background and hands-on ML deployment experience on mobile platforms.

The team values strong publications and looks for researchers who will return to their degree programs after the internship, with opportunities across multiple start dates throughout the year.

Qualifications

• PhD in Computer Science or Electrical Engineering required.
• 2+ years research experience in ML and computer vision.
• Experience with PyTorch or TensorFlow and deploying ML on mobile platforms.
• Strong publication record and intent to return to degree program.

Responsibilities

• Collaborate on algorithm/hardware co-design for AI/ML applications.
• Develop hardware-optimized ML algorithms for real-time systems.
• Advance multimodal understanding (audio, visual, spatial) for AR/VR explainability.
• Publish findings at leading workshops or conferences (CVPR/NeurIPS etc.).

Skills

Python

C++

Deep Learning

Multimodal ML

Edge Computing

ML Deployment on Mobile

Privacy-preserving ML

Publications

Education

PhD in Computer Science or Electrical Engineering

Tools

PyTorch

TensorFlow

Job description

Meta Reality Labs Research is seeking interns to advance AI/ML applications for AR/VR, focusing on co-design of algorithms and hardware for real-time performance. Candidates should have a PhD-level background and hands-on ML deployment experience on mobile platforms.

The team values strong publications and looks for researchers who will return to their degree programs after the internship, with opportunities across multiple start dates throughout the year.