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Staff Machine Learning Engineer, Voice AI

Together AI

San Francisco, CA · full time · Staff

$220,000 – $280,000

Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

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. The full posting is on their site.

Skills this role names

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What they ask for

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

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