# Research Scientist Intern - Audio AI at Meta

- Company: [Meta](https://meta.com)
- Location: Bellevue, WA
- Type: Internship · Internship
- Posted: 2026-10-26
- Apply: https://www.metacareers.com/jobs/1160814043168431
- Page: https://newgrad.ai/jobs/research-scientist-intern-audio-ai-69f26bd4

## Summary by newgrad.ai

What you'll do:

- Develop audio technologies for Meta’s global communication and media platforms.
- Solve research problems involving machine learning, speech processing, and efficient systems.
- Collaborate with engineers to transition research solutions into real-world product features.

What they're looking for:

- Expertise in audio signal processing, machine learning, or human perception.
- Ability to address technical constraints like latency, compute, and memory usage.
- Availability for internships lasting 12, 16, or 24 weeks.

## Posting

Meta 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
- 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.

From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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