Essential AI’s mission is to deepen the partnership between humans and computers, unlocking collaborative capabilities that far exceed what could be achieved today. We believe that building delightful end-user experiences requires innovating across the stack - from the UX all the way down to models that achieve the best user value per FLOP.

We believe that a small, focused team of motivated individuals can create outsized breakthroughs. We are building a world-class multi-disciplinary team who are excited to solve hard real-world AI problems. We are well-capitalized and supported by March Capital and Thrive Capital, with participation from AMD, Franklin Venture Partners, Google, KB Investment, NVIDIA.

The Data Researcher will conduct research on techniques and methodologies to select and curate data that advances model capabilities and/or makes training more effective. Your work will directly impact our product use cases and overall data strategy, incorporating user feedback and industry knowledge. You will work closely with the data infrastructure team and crawling team to rapidly iterate on hypothesis.

• Experimenting with strategies for curating, cleaning, structuring, and augmenting data at a large scale

• Designing efficient metrics that provide signals on data quality

• Developing proxies to evaluate performance of different data sources / data preparation strategies on downstream model performance

• Incorporate knowledge of product use cases and feedback into our data preparation strategy

• Collaborate closely with our data infrastructure and crawling teams to enable rapid experimentation

• Highly skilled with Python.

• You have strong ML fundamentals and first principles thinking that guides your approach to research.

• Ability to write, debug and optimize distributed code, and understanding of data orchestration and automation tools (or strong willingness to learn)

• Familiarity with a distributed framework like Spark, Ray, etc

• Strong problem solving, analytical, communication, and collaboration skills.

• You enjoy building things from the ground up in a fast-paced, collaborative environment.

We encourage you to apply for this position even if you don’t check all of the above requirements but want to spend time pushing on these techniques.

We are based in-person in SF. We offer relocation assistance to new employees.