About us

Actively’s vision is to build ML tools to enable every knowledge worker to be a data scientist. Today, only a small handful of people at a small handful of companies can unlock value from the exploding amounts of data being generated. Built on research at Stanford in active learning, we've created a new feedback-driven approach to model building that allows non-technical business users to combine the best of their human expertise with cutting-edge machine intelligence in order to (1) discover insights in their data that drive growth and efficiency and then (2) turn those insights into reusable AI-powered dashboards, automations, and internal tools for their teams.

We’ve raised $5M with backing from world-class investors including First Round Capital (seed investors in Looker, Square, Uber, Notion, Roblox), early Stripe executives, Neo, top-tier angels like the founders of Snorkel and Ramp, and industry luminaries such as a former Federal Reserve governor and a former NBA General Manager.

We’ve built with early customers (multiple unicorn companies) over the past 12 months and are ready to scale up our customer base and move towards a more scalable, self-serve product. To develop a world-class product, Actively is hiring an ML Engineer with exceptional product sense. This role is especially unique because you'll live in both worlds: you'll work on powerful ML systems under the hood, but with a focus on figuring out the best ways for these systems to leverage a non-technical subject matter expert in the loop to obtain highly accurate, useful results. You’ll work closely with the founders, customers, and the rest of the team.

Demo

https://www.loom.com/share/6b481e274464478fb5182a95cd5521b0?t=0

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