Meta
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)
Redmond, WA +1 · Internship · Posted Oct 5, 2026
- Location
- Redmond, WA
Burlingame, CA - Experience
- 3+ years with Python, Matlab, or similar; 3+ years with machine-learning software platforms; 2+ years building novel computational models in audio, audio-visual, or speech applications.
- Education
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Artificial Intelligence, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, Biomedical Engineering, or a related STEM field.
- Visa sponsorship
- Must obtain work authorization in the country of employment by the time of hire and maintain it during employment.
About the job
Conduct research and develop and evaluate machine-learning-based audio and speech processing algorithms for AR/VR applications.
What you'll do
- Research, design, develop, and test novel audio and speech processing algorithms.
- Design and run experiments to evaluate audio technologies and communicate research progress and results.
- Collaborate with researchers and engineers across audio, acoustic engineering, and other disciplines.
What they ask for
- Currently pursuing or obtaining a PhD in a listed or related STEM field.
- 3+ years of experience with Python, Matlab, or similar, and 3+ years with machine-learning software platforms such as PyTorch or TensorFlow.
- 2+ years building novel computational models in audio, audio-visual, or speech applications using machine learning or signal processing.
- Strong statistical modeling and/or signal-processing background; demonstrated software-engineering experience; accepted papers at relevant conferences; cross-functional communication experience; intent to return to a degree program after the internship; and required work authorization.
Pay
$7,650/month to $12,667/month (base salary)
Tools
Python, Matlab, PyTorch, TensorFlow
AI focus
Machine learning for audio, speech, and audio-visual research, including multimodal representation learning, scene analysis, speech enhancement, and acoustic activity localization.
Model-written summary · the original posting is authoritative