Mission: Embed empathetic, low?latency voice into apps to augment human?computer interaction
Vision: A world where AI voice companions understand and reflect human emotion seamlessly at scale
Culture: Self-driven, small-core team, ownership-first, fast-iteration, zero bureaucracy
Requirements:
Key Responsibilities:
Optimize transformer-based voice inference for ultra-low latency
Fine?tune models for emotion understanding and synthesis
Profile and reduce bottlenecks in streaming ML pipelines
Design and build SDKs for voice integration in consumer apps
Collaborate with founders on architecture and customer feedback
Own end?to?end ML system--from model design to infra deployment
Tech Stack:
PyTorch
CUDA
vLLM
SGLang
Streaming
Docker
Kubernetes
Benefits:
:
Work alongside founders in a hardcore small team (4 ppl)
Massive early traction with top consumer AI pipelines
Foundational role owning ML infra from day one
Equity up to 2?% + competitive compensation
* High?impact consumer product reshaping voice interaction
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