Research Scientist Intern, Audio AI (PhD)

Meta; Bellevue (WA); On-site; USD 55,000 - 69,000; Part time

Job summary

Meta in Bellevue, WA is seeking Research Scientist Interns to join the Audio AI team and advance state-of-the-art audio and ML systems used across WhatsApp, Messenger, Instagram, and Meta AI experiences. Interns will work on focused problems at the intersection of machine learning, audio, speech signal processing, and efficient systems.

Internships run 12–16, or 24 weeks with various start dates throughout the year.

Qualifications

• Pursuing or recently completed PhD in a relevant field.
• Strong foundation in audio and speech signal processing.
• Experience applying ML methods to audio tasks and datasets.

Responsibilities

• Work on research problems at the intersection of machine learning, audio and speech signal processing, human perception, and efficient systems.
• Collaborate with research scientists, software engineers, and product partners to define problems, build solutions, and evaluate them.
• Identify credible paths from research results to product impact.

Skills

Machine learning

Signal processing

Speech/audio

Python

PyTorch

Education

PhD in Computer Science, Electrical Engineering, or related field

Tools

Python

PyTorch

TensorFlow

Job description

Research Scientist Intern, Audio AI (PhD)# Research Scientist Intern, Audio AI (PhD)Bellevue, WA+1 locationEngineering+ 4 moreApply nowMeta was built to help people connect and share, and our technologies play a critical role in how people around the world communicate, create, and experience media. A research internship at Meta offers the opportunity to advance the state of the art while working on systems used across global products.Meta is seeking Research Scientist Interns to join the Media Foundation Core Audio team. We develop audio technologies used across WhatsApp, Messenger, Instagram, Facebook, and Meta AI experiences, spanning real-time calling, conversational AI, voice and media messaging, Live, and video-on-demand.Interns will work on one focused research problem at the intersection of machine learning, audio and speech signal processing, human perception, and efficient systems. Potential areas include streaming speech and audio enhancement for calling and conversational AI; restoration and super-resolution for creator media and video; neural audio codecs and compression for speech, music, and general audio; perceptual and context-aware quality metrics; multimodal evaluation; and efficient on-device or server inference through model architecture, distillation, quantization, and runtime optimization. Projects will be selected based on the intern’s expertise and current team priorities.The work combines research depth with real-world constraints such as latency, bitrate, compute, memory, power, robustness, and safe fallback. Interns will collaborate with research scientists, software engineers, and product partners to define the problem, build and evaluate solutions, and identify a credible path from research result to product impact.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long, with various start dates throughout the year.