About the job
About Hark
Hark is at the forefront of artificial intelligence, dedicated to crafting sophisticated, personalized intelligence systems. Our innovative approach merges proactive, multimodal capabilities, enabling interaction through speech, text, vision, and enduring memory.
We are revolutionizing the interface between humans and machines by integrating our intelligence with cutting-edge hardware. While traditional AI applications are limited to chat boxes and outdated devices, Hark is pioneering the next generation of agentic systems that communicate seamlessly with people and their environments.
Our mission involves the development of multimodal models and next-generation AI hardware, all designed from the ground up as a cohesive interface for a new era of intelligent systems.
About the Role
As the Lead Data Engineer, you will establish the data infrastructure that transforms raw signals into the training datasets essential for Hark's models. You will be responsible for building and maintaining the pipelines that ensure a smooth flow of data at scale.
This role encompasses the entire data engineering stack: from ingestion and transformation to quality filtering and delivery to training and evaluation systems. The efficacy of the models we deploy is directly linked to the quality of the underlying data, and this position is pivotal in owning that foundational aspect.
This high-responsibility role requires collaboration with a small, agile team. You will work closely with model researchers, data collection leads, and infrastructure engineers, where the systems you design will significantly influence the quality and speed of model development.
