Audio Deep Learning Intern
Benefits:
Hands-on experience working on real products and research
Mentorship from experienced engineers and researchers
Opportunity to live and work in the SF Bay Area
Education Requirements:
Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field
Experience Requirements:
Familiarity with Python and at least one deep learning framework (PyTorch preferred)
Basic understanding of machine learning or signal processing concepts
Exposure to audio processing, DSP, or speech/audio ML
Experience with neural networks, training workflows, or data analysis
Other Requirements:
Strong problem-solving skills
Curiosity about audio or ML systems
Ability to work independently and collaborate in a fast-paced environment
Interest in embedded systems or efficient ML
Responsibilities:
Assist in the design and evaluation of deep-learning-based audio models
Support research and prototyping efforts for audio processing
Contribute to model optimization and efficiency improvements
Help analyze multi-sensor audio data and algorithm behavior
Collaborate with engineers on tooling, experiments, and deployments
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