Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including
Building features and experiences from 0 to 1
Partnering on determining the architecture and stack for our AI-enabled capabilities
Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
Working at the cutting edge of production AI applications
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space
WE'D LOVE TO HEAR FROM YOU IF YOU HAVE
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks
A lot of enthusiasm for applications of AI to real business problems
Understanding of core MLOps/SW Architecture concepts for modern ML-based applications
Ideal candidates are strong on Infra aspects of MLOps as well
You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important
Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges
Interest in the data space, and a love of shipping great products and building tools that empower end users to do more
Experience maintaining a high quality bar for design, correctness, and testing