As an Audio Deep Learning Engineer Intern, you will work closely with our engineering and research teams on real-world audio and machine learning problems. This internship provides hands-on experience at the intersection of deep learning, DSP, and embedded systems.
During your internship, you will:
Assist in the design, development, and evaluation of deep-learning-based audio models and algorithms
Support research and prototyping efforts for audio processing and enhancement tasks
Contribute to model optimization, efficiency improvements, and compression experiments
Help analyze multi-sensor audio data and algorithm behavior
Collaborate with experienced engineers on tooling, experiments, and deployments
This is a unique opportunity to gain practical experience working on cutting-edge embedded AI technology while contributing to impactful projects. What You'll Work On
Depending on your background and interests, projects may include:
Developing or refining deep learning models for audio tasks such as speech enhancement, noise reduction, sound event detection, localization, echo cancellation, and related areas
Experimenting with model efficiency, compression, and optimization techniques
Working with real audio datasets and multi-sensor inputs
Building research prototypes and evaluation pipelines
Supporting deployment and testing workflows Requirements
Required qualifications and experience:
Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field
Familiarity with Python and at least one deep learning framework (PyTorch preferred)
Basic understanding of machine learning or signal processing concepts
Strong problem-solving skills and curiosity about audio or ML systems
Ability to work independently and collaborate in a fast-paced environment Nice to have:
Exposure to audio processing, DSP, or speech/audio ML
Experience with neural networks, training workflows, or data analysis
Interest in embedded systems or efficient ML Desired Skills:
Deep Learning
Machine Learning
Python
PyTorch
DSP 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
femtoAI is an equal opportunity employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.