Staff Machine Learning Engineer

📋 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