About the role

Hex Magic is an AI assistant for modern Data Science and Data Analytics workflows. This team is building deep integrations between Machine Learning/Artificial Intelligence and Hex’s core offerings. 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 a 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 ML 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.

Note: We deeply respect and appreciate ML research; this role is not that. While experience producing relevant journal publications is awesome, it won’t be part of this role’s deliverables.

We'd love to hear from you if you have

• Experience getting ML/AI 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.

This is a full-time role based out of our San Francisco office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.