Staff Machine Learning Engineer
Almedia
Our bar is high, and this is the best place for ambitious builders.
Bootstrapped and profitable from day one, Almedia is Germany’s fastest-growing company (FT1000). Join us as we build the global leader in rewards, at a $1bn+ revenue run rate and climbing fast. Staff Machine Learning Engineer London, King's Cross Top-of-market compensation The Role You'll take ownership of designing, building, and shipping production-grade systems that power ranking, personalisation, and reward structures in real time. You work hands-on with a small, high-ownership team. You have real influence over how we build our infrastructure as we grow it together. You spot leverage points others miss: systems that shift behaviour, ranking that balances user value and business sustainability, measurement frameworks that prove what actually works. You own these end to end. What You'll Own Ranking and personalisation systems that reach the right users in real time
Reward and payout infrastructure balancing user motivation, cost, and business value
Behavioural prediction through time-series and sequence systems
Measurement and validation using A/B testing, causal inference, uplift modelling
ML infrastructure: pipelines, training loops, serving, monitoring
Technical leadership and mentorship on shipping discipline and impact
What We're Looking For 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
Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure
Why This Matters Real behavioural sequences. Billions of user decisions across multiple games. Your systems handle cold start, sparse reward, imbalanced value distributions. Both measurement rigour and systems thinking matter here. Why Almedia 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 providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Bootstrapped and profitable from day one, Almedia is Germany’s fastest-growing company (FT1000). Join us as we build the global leader in rewards, at a $1bn+ revenue run rate and climbing fast. Staff Machine Learning Engineer London, King's Cross Top-of-market compensation The Role You'll take ownership of designing, building, and shipping production-grade systems that power ranking, personalisation, and reward structures in real time. You work hands-on with a small, high-ownership team. You have real influence over how we build our infrastructure as we grow it together. You spot leverage points others miss: systems that shift behaviour, ranking that balances user value and business sustainability, measurement frameworks that prove what actually works. You own these end to end. What You'll Own Ranking and personalisation systems that reach the right users in real time
Reward and payout infrastructure balancing user motivation, cost, and business value
Behavioural prediction through time-series and sequence systems
Measurement and validation using A/B testing, causal inference, uplift modelling
ML infrastructure: pipelines, training loops, serving, monitoring
Technical leadership and mentorship on shipping discipline and impact
What We're Looking For 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
Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure
Why This Matters Real behavioural sequences. Billions of user decisions across multiple games. Your systems handle cold start, sparse reward, imbalanced value distributions. Both measurement rigour and systems thinking matter here. Why Almedia 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 providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Reference: WJCPA-5429_430529 · Posted 13 Nov 2026, 01:13 AM