Research Engineer

The role

You will design, train, and iterate on models across the voice stack. You will also build training pipelines, evaluation frameworks, and tooling to move research into production.

What you will do

• Design, implement, and iterate on models across the voice stack from audio and speech to language and beyond
• Build the training pipelines, evaluation frameworks, and tooling that let us experiment and iterate quickly
• Translate research results into production-grade systems alongside our engineering team
• Form hypotheses, chase down interesting results, and take ownership over the problems you work on

Required qualifications

• Hands-on experience in ML research or research engineering, industry or PhD-level academia
• Proficiency in Python and PyTorch (or JAX)
• Ability to implement models cleanly from papers
• Experience running ML experiments end-to-end: data processing, training, evaluation, and iteration
• Comfort in fast-moving, ambiguous environments
• The ability to clearly explain what you tried, what worked, and why

Nice to have

• Research experience in speech, audio, or language modeling (ASR, TTS, LLMs, codec models)
• Familiarity with diffusion, flow matching, or autoregressive generative models
• Experience with distributed training, quantization, or inference optimization
• Competitive programming or olympiad background

Benefits

• Salary and equity
• Free breakfast, lunch, and dinner provided in the office
• Comprehensive health, dental, and vision
• Regular off-sites and team celebrations
• 401(k)

About the company

Phonic is the speech-to-speech model company. Their mission is to make speaking with agents delightful using models that hear and answer in native audio.