At Hark, we are building the most advanced personal intelligence in the world.
About the role
The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.
What they're looking for
- Proven track record of advancing speech or audio models through innovations in data, modeling, or training
- Strong experience in speech/audio domains such as ASR, TTS, speech-to-speech, or audio foundation models
- Experience with large-scale machine learning systems and distributed training
- Strong background in data-driven experimentation, systematic evaluation, and model iteration
- Strong ownership mindset and ability to drive end-to-end impact from research to production
More about this role
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.
The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.
As part of the Omni team, you will drive the development of advanced speech and audio capabilities within multimodal foundation models. You will work across the full stack—from...
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