At Hark, we are building the most advanced personal intelligence in the world.
About the 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.
What they're looking for
- Strong background in machine learning, with hands-on experience training or fine-tuning large models — LLMs, multimodal, or equivalent systems
- Direct, hands-on work with LLMs and modern post-training techniques: RL, RLHF/RLAIF, reward modeling and graders, synthetic data pipelines, or building agentic/tool-using systems
- A track record on fuzzy problems, where the objective is loosely defined, the data is noisy, and getting to a good answer takes both judgment and hands-on engineering
- A strong point of view on what makes a personal assistant genuinely useful, trustworthy, and pleasant to rely on daily, not just a leaderboard number moving up
- Skill at turning a vague behavioral concern into a testable experiment: form the hypothesis, stand up the pipeline, run it, read the results, and decide the next move
- Ease operating across research, product, infrastructure, data, hardware, and safety teams, and translating clearly between each
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.
We are looking for a Member of Technical Staff, Frontier RL Environments to build the north-star agent environments that drive progress toward truly personal, proactive intelligence. You'll decide which skills and behaviors our agents need next, build the evaluations and RL environments that reveal whether they have them, and help set the research agenda behind our highest-stakes training runs.
This role sits at the frontier of a rapidly emerging discipline, where environment...
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