Phonic→
Research Intern at Phonic in San Francisco, CA
InternshipOn-siteFull-timeSan Francisco, CA
Skills
pytorchresearch experience in speechfluency in mathgenerative modeling techniquesjaxrlhfcompetitive programming
Job Description
Summary: Phonic is a product and research lab focused on creating realistic voice AI conversations. As a Research Intern, you will work on core problems in voice AI, taking ownership of research directions and driving them from problem identification to production impact.
Responsibilities:
- Identify high-leverage research problems across the voice AI stack from audio understanding to audio output, and take full ownership of driving them forward
- Design and run rigorous experiments that analyze architectural trade-offs to understand how design choices influence a model’s scalability, latency, and quality
- Curate massive training datasets and execute rigorous experiments to determine exactly how data quality shapes model behavior and performance
- Work directly with research scientists and engineers to move fast from prototype to production
- Build the training pipelines, evaluation frameworks, and tooling that let us experiment and iterate quickly
Required Qualifications:
- A track record of original work: you've found a real problem, developed an approach, and seen it through
- Proficiency in PyTorch (or JAX), and the ability to implement models cleanly from papers
- Fluency in the math, probability, optimization, and linear algebra underlying model behavior
- You move fluidly between ideas and implementation; you don't just think about problems, you build things
- Clear, precise written and verbal communication
Preferred Qualifications:
- 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
Required Skills: PyTorch, Research experience in speech, Fluency in math
Important Skills: Generative modeling techniques
Nice-to-Have Skills: JAX, RLHF, Competitive programming
Benefits: Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset, Free breakfast, lunch, and dinner provided in the office, We have regular off-sites and team celebrations
Benefits
Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset
Free breakfast, lunch, and dinner provided in the office
We have regular off-sites and team celebrations