Machine Learning Research Intern (Fall 2026)

Mixpeek; San Francisco (CA); On-site; USD 55,104 - 82,656; Full time

Benefits offered by this job

Top‑tier compensation

Meals in office

Team off‑sites

Job summary

Phonic in San Francisco is seeking a Research Intern to tackle core problems in voice AI, owning a research direction end‑to‑end—from problem identification to experiments and production impact. You will work with researchers and engineers to move fast from prototype to production.

You will help build training pipelines, evaluation frameworks, and tooling, while applying strong math, probability, optimization, and linear algebra.

Qualifications

• Proficiency in PyTorch or JAX.
• Strong foundation in math, probability, optimization, and linear algebra.
• Clear, precise written and verbal communication.

Responsibilities

• Identify high‑leverage research problems across the voice AI stack and own them end‑to‑end.
• Design and run rigorous experiments to analyze architectural trade‑offs and model quality.
• Curate large training datasets and quantify data quality effects on model behavior.
• Collaborate with research scientists and engineers to move from prototype to production.
• Build training pipelines, evaluation frameworks, and tooling to accelerate experimentation.

Skills

Mathematics & Linear Algebra

Communication

Research mindset

Tools

PyTorch

JAX

Job description

About Phonic

Phonic is a product and research lab focused on powering the most realistic, human‑like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence.

Our team includes top-tier AI researchers, international olympiad medalists, and former founders.

Our customers include companies that are building voice-native AI products in industries such as customer support, healthcare, and logistics. We have raised over $30M from tier 1 VCs.

About the Team

Phonic has a very talent-dense and close-knit team. 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.

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 own a research direction end-to-end — from identifying the right problem to designing experiments, developing novel methods, and seeing results through to production impact. This isn't a role focused on incremental improvements; we're looking for someone with the taste to identify what matters, the rigor to pursue it correctly, and the drive to ship it. You'll be fully in‑person in our SF office.

What You'll Do

• 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

What You'll Bring

• 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

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

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
• We have regular off‑sites and team celebrations