Recommender Systems Lead
Listed on 2026-07-08
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IT/Tech
AI Engineer (Applied/Software), Data Scientist
About Rapidata
Rapidata provides an API to humans that is revolutionizing the data generation and annotation industry. It delivers highly scalable and extremely fast human data that fuels the AI systems of the future. We have a diverse user base of over 10 million active users from all over the world. Naturally, this means different people are good at different things. To optimize both efficiency and quality of responses, we need to assign the right tasks to the right person in real time, at global scale.
The RoleWe're looking to hire a Recommender Systems Lead
, a senior professional with significant experience in the topic, coming from either a production-heavy industry background or a strong applied research background. Ideally, you've built high-engagement recommendation systems — maybe you made people scroll Tik Toks a little longer or spend way too much on impulse purchases. Now it's time to transfer that knowledge to improve data labeling for the next generation of AI models.
You should have built a system like this in the past, saw what does and does not work, and also know the pitfalls of actually running a system that makes millions of decisions per hour under strict latency constraints (
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