Strong background in modern language model architectures
Proven track record of deploying research solutions
Experience in training large-scale models
Responsibilities
Conduct research to improve core speech models
Develop new model architectures and training methods
Work on large-scale model training and data systems
Collaborate with team to transition research to usable systems
Benefits
Flexible work options including potential for global remote work
Opportunity to work at a well-funded startup with strong market traction
Access to cutting-edge technology in speech AI
Equity opportunities in a growing company
Possibility to influence the development of innovative voice technology
Full Job Description
Job Description
Want to build speech AI that actually sounds human?
You'll be joining a well-funded speech AI startup with strong customer traction. They're building ultra-realistic voice technology that handles natural laughter, breathing, seamless language switching, and accurate pronunciation across languages and accents.
As a Staff Research Engineer, you'll work hands-on to expand their foundation models and push the boundaries of what's possible in speech AI: exploring multilingual capabilities, long-context generation, full-duplex modeling for natural conversations with interruptions, and novel architectures that balance speed with control.
What you'll do
Conduct research to advance their core speech models and extend product capabilities
Develop and experiment with new model architectures and training approaches
Work on large-scale model training and data systems
Collaborate with the team to take research from concept to deployed systems
What you'll bring
3+ years of experience in speech synthesis, audio generation, or generative modeling
Experience with audio generation using LLMs
Solid background in modern language model architectures
Proven ability to ship research into production systems
Experience training large-scale models
Nice to have
Published research in speech or generative modeling
Experience with real-time speech systems or multimodal models
Ideally in SF, but can also consider remote worldwide. Comp is up to $250K base DOE, plus equity.
