Member of Technical Staff, Multimodal Speech
Hark Open · verified Oct 24, 2026 At a glance
Senior Software Engineering role at Hark. San Jose · $180,000–$450,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Advance speech recognition, generation and understanding inside multimodal models through research and engineering
- Build speech and audio data flows for gathering, cleaning, aligning and creating synthetic examples
- Design speech models and multimodal systems, including architectures that can operate in real time
- Create benchmarks that track speech quality, response delay, robustness and user experience
- Tune models for live use and scale, then bring them into production with product and engineering teams
What you bring
- You have a track record of improving speech or audio models through changes to data, modeling or training
- You bring strong experience in speech or audio work, such as recognition, synthesis or speech-to-speech systems
- You have worked with large machine-learning systems and distributed model training
- You use structured experiments and evaluation to guide repeated model improvements
Who this fits
This senior role suits someone who can carry speech research through to production and user-facing systems. The position is based in San Jose, and the stated annual base salary range is $180,000 to $450,000.
From the employer
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
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 data and modeling to training, evaluation, and real-time serving—pushing the boundaries of speech intelligence and human-computer interaction.
Responsibilities
- Drive research and development to advance speech and audio capabilities in multimodal models, including speech recognition, synthesis, and understanding.
- Develop and improve large-scale speech and audio data pipelines, including data collection, filtering, alignment, and synthetic data generation.
- Design and implement state-of-the-art models for speech and audio, including end-to-end multimodal architectures and real-time systems.
- Build evaluation frameworks and internal benchmarks to measure speech quality, latency, robustness, and overall user experience.
- Optimize models and systems for real-time performance, scalability, and production deployment.
- Collaborate closely with product and engineering teams to translate research innovations into impactful, user-facing AI experiences.
Requirements
- 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.
Bonus Qualifications
- Familiarity with signal processing, acoustics, or audio representation learning is a plus
- Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong plus.
Compensation
The US base salary range for this full-time position is between $180,000 - $450,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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