Research Scientist Intern, Audio (PhD) jobs in United States
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Meta · 3 hours ago

Research Scientist Intern, Audio (PhD)

Meta builds technologies that help people connect, find communities, and grow businesses. As an Audio Research Scientist Intern on the Wearables Audio Technologies Team, you will develop cutting-edge Audio ML models and work on projects that advance audio processing and machine learning.

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Comp. & Benefits

Responsibilities

Train or fine-tune audio models in Pytorch
Process and analyze speech and audio data: including binaural data simulation, data cleaning, feature extraction and visualization
Collaborate with other researchers to collect data through listening experiments
Design and conduct experiments to evaluate the performance of these models and interpret results
Communicate findings through written reports and presentations

Qualification

Deep learning modelsPythonPyTorchAudio processing conceptsLLM modelsVersion control systemsProductionizing ML modelsLearning new conceptsCommunication skillsCollaboration skills

Required

Currently has, or in the process of obtaining a PhD in Computer Science, Electrical Engineering, Auditory Neuroscience, Audio Signal processing or a related field
Experience in building deep learning models
Experience with LLM models
2+ years experience with Python and PyTorch
Understanding of audio processing concepts
Proven communication and collaboration skills
Demonstrated skill in learning and applying new concepts, techniques, and tools to solve complex problems
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred

Experience with fine tuning LLM models
Familiarity with evaluation metrics for audio quality
Effective programming skills in Python
Experience with version control systems
Experience with productionizing ML models
Intent to return to degree-program after the completion of the internship/co-op

Benefits

Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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