# Staff Machine Learning Engineer, Voice AI

Hiring organization: [Together AI](https://career.thegoodapps.co/organizations/together-ai)

Canonical page: https://career.thegoodapps.co/jobs/d3c14fbb-9c48-4729-a0bf-e5469bed47ca

Listed on Together AI's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Staff
- Location: San Francisco, CA
- Salary: 220000 – 280000 USD per year

## Summary

Staff-level machine learning engineer role focused on optimizing inference for voice models like speech-to-text and text-to-speech on Together AI's platform. Ideal for someone with deep expertise in LLM serving engines and GPU optimization who wants to shape the technical direction of a foundational voice AI system.

_Our summary, not Together AI's wording._

## Skills named

CUDA, Python, PyTorch

## Required

- 8+ years of ML engineering experience with focus on model serving or inference optimization at production scale
- Deep expertise in LLM serving engines (vLLM, SGLang, TensorRT-LLM, or equivalent) including engine internals modification
- Expert-level Python and PyTorch with strong GPU optimization knowledge (CUDA, memory hierarchies, profiling)
- Proven system design judgment at scale
- Strong technical leadership with high autonomy
- Product intuition for developer tooling
- Ability to move fast in ambiguous, early-stage environments
- Foundation in speech and audio ML (ASR/TTS architectures, audio signal processing)

## Nice to have

- Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC)
- Experience training or fine-tuning speech models at scale
- Bachelor's or Master's in Computer Science, Electrical Engineering, or related field

Apply on Together AI's site: https://job-boards.greenhouse.io/togetherai/jobs/5140763007