Actively | Software Engineers (ML & full-stack) | Full-time | NYC | Onsite
I'm one of the founders of Actively — our vision is to turn every knowledge worker into a data scientist by building interactive ML tools that combine human expertise with machine intelligence.
Here's [more on us](https://www.notion.so/about-actively-9dabd208d3a54d388ea6588...) + a demo of some of the core tech if you're curious :)
We're based in NYC and are well-funded by top investors; our (paying!) customers are analytical business teams (think growth, sales, marketing, etc.) at Series C through IPO companies who have tons of questions to answer but very limited access to data scientists. We think of our first product as a "metrics optimization platform" where business users plug in their KPI as an aggregation over their data and define their levers and we continuously optimize that business metric.
We're super small (our current team comes from Stanford/Google/Waymo/Microsoft) but are growing the team "actively" (!!) based on customer demand and looking for founding ML and product engineers (ideally senior and entrepreneurial and excited to dig in on product + across the business!) [on the ML side, any of ML research/quant experience/experience with explainability or causal inference are huge pluses; on the full-stack side, side projects and/or experience building real products with React and Typescript is great, bonus for data or analytics-related products]. I'd love to chat: Email is hidden!
Keywords: AI, ML, machine learning, active learning, explainable AI, causal inference, data science, quant