At Hark, we are building the most advanced personal intelligence in the world.
About the role
You'll build the data infrastructure that turns raw signals into the training data Hark's models learn from, and the pipelines that keep it flowing at scale. That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data behind them, and this role owns that foundation.
What they're looking for
- Strong data engineering fundamentals. You are comfortable designing and operating large-scale batch and streaming pipelines, and you care about correctness and reliability
- Experience building data systems for machine learning. You understand the difference between a data pipeline for analytics and one that feeds model training, and you know what it takes to get the latter right
- Systems thinking. You reason about schema evolution, backfills, and failure modes before they become production incidents. You build for the day-2 case, not just the demo
- A quality instinct. You don't just move data. You understand what's in it, catch problems early, and close the feedback loop with the people who need clean data
- Strong communication. You can work closely with model researchers and engineers, explain data tradeoffs clearly, and make good decisions across team boundaries
- 5+ years of relevant data engineering experience. Experience at a fast-growing AI or research-driven company is a strong plus
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.
You'll build the data infrastructure that turns raw signals into the training data Hark's models learn from, and the pipelines that keep it flowing at scale.
That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data behind them, and this role owns that foundation.
This is a high-ownership role on a small team. You'll work directly with model...
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