Do you want to create AI that converses as naturally as humans do? A pioneering healthtech unicorn is building AI digital health agents designed to safely and empathetically assist patients.

As the Staff Research Scientist, you'll play a key part in making this a reality - building end-to-end foundational speech models capable of full-duplex communication. This isn't just about taking turns speaking; it's about creating AI that can listen and respond simultaneously with human-like conversation, emotions, and natural language that healthcare demands.

What you'll do

• Design and develop novel speech foundation models for healthcare conversations, working end-to-end from research through to productionizing models
• Work on post-training LLMs for speech to enhance their conversational capabilities
• Tackle unique challenges including response time optimization, maintaining alignment between text and speech outputs, and operating in noisy environments
• Create innovative approaches to synthetic conversational data generation
• Have the opportunity to publish your groundbreaking research

What you'll bring

• PhD with 8+ years in speech technologies or related field
• Experience with Speech LLMs
• Experience training large datasets
• Strong publication record at top-tier conferences in speech/multimodal AI
• Ability to implement research papers from scratch

Bonus points for

• Experience pre-training foundation models with speech (HuBERT, Wav2Vec, or similar)
• Multimodal experience
• Experience with inference technologies (vLLM, CUDA)

You'll be based in the Bay Area and will receive highly competitive comp (up to $350K base DOE) with substantial equity.

If you're excited about creating the next generation of speech AI that will revolutionize healthcare communication, click apply!