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.

What you’ll be working on

• Collaborate with a cross-functional team of researchers, product engineers and designers to bring magical product experiences through large language models to enterprises.

• Own the development and deployment of custom solutions for our design partners and customers by deeply understanding their workflows, writing integrations and curating data and evals.

• Guide our model development by identifying new capabilities and evaluations that improve the overall product and inform our research roadmap.

• Educate and build tutorials and documentation to help customers onboard and easily get started with the product. Collect feedback and document user experiences to make it seamless over time.

What we are looking for

• Excellent communication skills (evidence of this includes creation of educational material or documentation around hard technical concepts or software packages)

• Experience iterating on 0→1 products in an enterprise/B2B setting together with external design partners

• Proven track record of successfully deploying software in enterprise settings

• Experience with being embedded in external clients’ environments. Ideally, you can talk about instances where you’ve handled customer issues, helped them navigate tricky and difficult situations and improved overall customer experience.

• Deep interest in and/or prior exposure to building with LLMs in production

• [Bonus] Experience with generating or using synthetic data in production

• [Bonus] Understanding how to deploy software in highly secure or regulated environments

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.