Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets. In particular, the Meta Reality Labs Research audio team is focused on creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing.

Meta Reality Labs Research is looking for experienced interns who are passionate about groundbreaking research in audio signal processing, machine learning, and audio-visual learning to solve important audio-driven problems for AR/VR applications. Our internships are twelve (12) to twenty-four (24) weeks long with various start dates throughout the year.

Responsibilities

1. Research, model, design, develop, and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.
2. Collaborate with researchers and engineers across diverse disciplines.
3. Design and implement novel algorithms to solve audio research problems.
4. Conduct experimental design, implementation, and execution to evaluate new audio technologies.
5. Communicate research agenda, progress, and results.

Minimum Qualifications

1. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, or a related STEM field.
2. 3+ years experience with Python, Matlab, or similar.
3. 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
4. 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing.
5. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

1. Demonstrated software engineering experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g., Github).
2. Strong background in statistical modeling techniques and/or signal processing.
3. Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech, etc.
4. Experience working and communicating cross-functionally in a team environment.
5. Intent to return to a degree program after the completion of the internship/co-op.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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