Research Engineer

Phonic

• $120K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in ML research or engineering, with a strong emphasis on hands-on experience
  • Proficiency in Python and frameworks like PyTorch or JAX
  • Experience running end-to-end ML experiments including data processing and evaluation
  • Adaptability to fast-paced, unclear situations where problem definition is crucial
  • Strong communication skills for articulating experimental findings and approaches

Responsibilities

  • Design, implement, and iterate on models spanning audio, speech, and language
  • Build training pipelines and evaluation frameworks to facilitate rapid experimentation
  • Translate research outcomes into production-ready systems
  • Develop hypotheses and thoroughly investigate research problems
  • Collaborate closely with engineers to bridge the gap between theory and application

Benefits

  • Competitive salary and equity packages tailored to attract top talent
  • Complimentary meals offered throughout the day at the office
  • Comprehensive health, dental, and vision insurance options
  • Opportunities for team off-sites and celebrations to strengthen team dynamics
  • 401(k) plan to support long-term financial planning
Full Job Description
About The Role

As a Research Engineer at Phonic, you'll sit at the intersection of cutting-edge ML research and production engineering, working directly on the core systems that make Phonic's voice AI feel genuinely human. You'll design, train, and iterate on models across the voice stack (speech, audio, language, and beyond), while also building the infrastructure and tooling needed to move fast from research idea to deployed product.

This is a role for someone who thrives in ambiguity, moves with urgency, and takes full ownership of problems. You'll work closely with researchers and product engineers in a high trust, in-person environment in our SF office to push the frontier of what voice AI can do.

What You'll 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


What You'll Bring
  • Hands-on experience in ML research or research engineering, industry or PhD-level academia
  • Proficiency in Python and PyTorch (or JAX), and the 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 - defining the problem is part of the job
  • 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
  • Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset
  • 🥗 Meals: free breakfast, lunch, and dinner provided in the office
  • Healthcare: Comprehensive health, dental, and vision
  • We have regular off-sites and team celebrations
  • 401(k) - Let us help you plan for the future. We've got you covered.

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