greenhouse
Lead Audio ML Engineer
Hark
San Jose, USA
Full-time
Mid Level
Onsite
USD 120000-300000 yearly
Discovered 1 weeks ago
Free
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We are looking for an Lead Audio ML Engineer to implement, train, and ship audio models that run on-device across our consumer products.
This role spans the full lifecycle of on-device audio intelligence: model design, training, evaluation, and deployment to constrained hardware.
You will work alongside our DSP, firmware, and product teams to turn audio model research into production features that ship at scale.
Full Job Posting
About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence.
One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines.
While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About The Role
We are looking for an Lead Audio ML Engineer to implement, train, and ship audio models that run on-device across our consumer products.
This role spans the full lifecycle of on-device audio intelligence: model design, training, evaluation, and deployment to constrained hardware.
You will work alongside our DSP, firmware, and product teams to turn audio model research into production features that ship at scale.
Responsibilities
- Implement and train audio models for wake-word detection, voice activity detection, source separation, speech enhancement and similar audio
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