Experience building and measuring high quality search and recommendation systems
Experience getting AI/ML capabilities into production and serving real users
A lot of enthusiasm for applications of AI to real business problems. - Understanding of core MLOps/SW Architecture concepts for modern ML-based applications. - 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. ---
Our stack
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. ---
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $225,000-$285,000
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy. Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.
