# Staff Machine Learning Engineer, Voice AI at Together AI

- Company: Together AI
- What the company does: Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.
- Company website: https://www.together.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $220K to $280K base salary per year (USD)
- Posted: 2026-05-19
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5140763007
- Page: https://www.1752.vc/careers/jobs/together-ai-staff-machine-learning-engineer-voice-ai/

## About the role

Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.

## What they're looking for

- 8+ years of ML engineering experience, with a demonstrated focus on model serving, inference optimization, or ML infrastructure at production scale — including systems you've owned from design through live traffic
- Proven system design judgment — you've made architectural decisions that held up at scale and influenced how a team or platform evolved, you can articulate the tradeoffs you made and why
- Strong technical leadership — you operate with high autonomy, define the right problems before solving them, and raise the bar for engineering quality around you without requiring process overhead
- Sharp product intuition for developer tooling — you understand what voice application developers actually need to ship great products, and you let that shape your technical priorities, not just the other way around
- Proven ability to move fast in ambiguous environments — you've thrived on early-stage or platform teams where scope is wide, ownership is deep, and the roadmap you build is the one you execute
- Familiarity with audio codec and tokenization schemes (SNAC, Encodec, DAC) is a meaningful plus at this level

Tags: Engineering