Phonic
Machine Learning Research Intern (Fall 2026)
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 49 days ago
Machine LearningPyTorchLLMsCustomer SupportResearchCommunication
About the role
- As a Research Intern at Phonic, you'll work directly on the core problems that make Phonic's voice AI feel genuinely human.
- You'll be fully in-person in our SF office.
- Phonic has a very talent-dense and close-knit team.
Responsibilities
- Design and run rigorous experiments that analyze architectural trade-offs to understand how design choices influence a model's scalability, latency, and quality
- Build the training pipelines, evaluation frameworks, and tooling that let us experiment and iterate quickly
- you don't just think about problems, you build things
- You move fluidly between ideas and implementation; you don't just think about problems, you build things
Requirements
- Proficiency in PyTorch (or JAX), and the ability to implement models cleanly from papers
Nice to have
- Research experience in speech, audio, or language modeling (ASR, TTS, LLMs, codec models)
- Familiarity with generative modeling techniques: diffusion, flow matching, or autoregressive models
- Experience with RLHF or preference optimization
- Competitive programming or olympiad background
- Publications or preprints at venues like NeurIPS, ICML, ICLR, Interspeech, ICASSP, or ACL
Compensation
- in order to get the best talent, we provide salary and equity that recognize your skillset
Benefits
- 💸 Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset
Company info
- We collaborate with high trust and are constantly trying to improve how we work to deliver world-class research and product.
- Everyone takes ownership in what they do and they aren't afraid to dive in headfirst into new problems.
- Our team includes top-tier AI researchers, international olympiad medalists, and former founders and we're fully in-person in our SF office.
This listing is sourced directly from Phonic's careers page and normalized into a canonical job model.