Staff Machine Learning Engineer, Voice AI
Together AI · San Francisco
CHECKED 2H AGO
Infrastructureonsitestaff$220k–$280k
At a glance
Highlights
- Own the model serving stack powering real-time voice agents at scale.
- Shape voice platform as industry shifts to end-to-end speech-to-speech.
- Join small early-stage team with outsized impact on fast-growing product.
What they offer
- startup equity
- health insurance
- competitive benefits
Ideal candidate
Staff-level ML engineer energized by real-time voice inference and ambiguous, high-ownership environments who thrives driving performance and productionization from roadmap to execution.
Requirements
- Thrive in ambiguous, early-stage or platform teams with wide scope and deep ownership
- Strong foundation in speech and audio ML (ASR/TTS architectures, audio signal processing)
- Familiarity with audio codec 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 or equivalent depth
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs