Meta Reality Labs Research is seeking experienced interns passionate about groundbreaking research in audio signal processing, machine learning, and audio-visual learning for AR/VR applications. Projects include multimodal representation learning, audio-visual scene analysis, egocentric audio-visual learning, multi-sensory speech enhancement, and acoustic activity localization. The internship lasts 12-24 weeks with various start dates throughout the year.
Responsibilities include:
- Researching, modeling, designing, developing, and testing novel audio and speech processing algorithms
- Collaborating with researchers and engineers across diverse disciplines
- Designing and implementing novel algorithms for audio research problems
- Conducting experimental design, implementation, and execution to evaluate new audio technologies
- Communicating research agenda, progress, and results
Minimum Qualifications:
- PhD (in progress or completed) in Computer Science, AI, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, or related STEM field
- 3+ years experience with Python, Matlab, or similar
- 3+ years experience with machine learning platforms (PyTorch, TensorFlow, etc.)
- 2+ years experience building novel computational models in audio, audio-visual, or speech applications using machine learning or signal processing
- Must obtain work authorization in the country of employment
Preferred Qualifications:
- Software engineering experience (internships, work experience, coding competitions, or open-source contributions)
- Strong background in statistical modeling techniques and/or signal processing
- Published papers at top conferences (CVPR, ECCV, NIPS, ICASSP, InterSpeech, etc.)
- Experience working and communicating cross-functionally in a team environment
- Intent to return to a degree program after the internship
Meta offers a competitive salary range of $7,500/month to $11,333/month plus benefits for this position. The company is committed to providing reasonable accommodations and ensuring equal employment opportunities.