Staff Machine Learning Engineer

📋 Job Overview

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

🏢 About Almedia

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

🎯 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.

✅ Key Responsibilities

• 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

📌 Required Qualifications

• 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

🎁 Benefits

• Top-of-market compensation including substantial equity
• Real behavioural data at scale. Billions of user interactions, millions of daily active users