Audio AI Research Scientist Intern: Real-time Sound & ML

Meta; Menlo Park (CA); On-site; USD 85,000 - 141,000; Full time

Job summary

Meta Media Foundation Core Audio internship focuses on advancing audio, speech, and ML technologies used across WhatsApp, Messenger, Instagram, Facebook, and Meta AI experiences. Interns work on one focused problem at the intersection of ML, audio processing, and efficient systems.

Internships last 12–24 weeks with multiple start dates; you will build and evaluate models, collaborate with researchers and engineers, and contribute to potential product impact.

Qualifications

• PhD in Computer Science, AI, NLP, Speech, or related field.
• Must have work authorization for country of employment.
• Experience with Python, C++, Java or similar languages.
• Experience with PyTorch or TensorFlow.
• Familiarity with ML architectures and research methods.

Responsibilities

• Perform research to advance audio, speech, multimodal, and ML technologies.
• Design, train, and evaluate models for audio applications like enhancement or compression.
• Build reproducible evaluation pipelines with objective metrics and listening tests.
• Collaborate with researchers, software engineers, and cross-functional partners; communicate plans and results.

Skills

Python

C++

Java

Deep learning

ML systems

Education

PhD in CS / AI / NLP / CV / Speech

Tools

PyTorch

TensorFlow

Job description

Meta Media Foundation Core Audio internship focuses on advancing audio, speech, and ML technologies used across WhatsApp, Messenger, Instagram, Facebook, and Meta AI experiences. Interns work on one focused problem at the intersection of ML, audio processing, and efficient systems.

Internships last 12–24 weeks with multiple start dates; you will build and evaluate models, collaborate with researchers and engineers, and contribute to potential product impact.