Job at a glance
📋 Description Own ranking and personalisation systems that reach the right users in real time Own reward and payout infrastructure balancing user motivation, cost, and business value Own behavioural prediction through time-series and sequence systems Own measurement and validation using A/B testing, causal inference, uplift modelling Own ML infrastructure: pipelines, training loops, serving, monitoring Provide technical leadership and mentorship on shipping discipline and impact 🎯 Requirements Shipped production systems end to end, from formulation through impact measurement Full-stack capability: data pipeline to live serving to monitoring and decay Causal thinking: propensity scoring, instrumental variables, contextual bandits, uplift modelling Scale experience: built systems handling high-volume behavioural datasets and real-time inference Published work or equivalent research discipline Builder's mindset: energised by shipping.
Zero-to-one experience valued 🎁 Benefits Profitable from launch. Higher revenue per employee than Big Tech. Small team by design. Every hire raises the bar. Top-of-market compensation including substantial equity. Real behavioural data at scale. Billions of user interactions, millions of daily active users. We believe in fostering talent, evaluating all skill levels during the hiring process, and