Machine Learning Engineer

Responsibilities

• Lead end-to-end delivery: build, deploy, and optimise solutions and services at scale
• Provide technical leadership across ML projects, ensuring best practices and high-quality code
• Align technical capabilities with business priorities to unlock high-value opportunities
• Apply advanced statistical and causal inference methods to ensure robustness and reliability
• Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions
• Design and optimise user reward schemes based on player behaviour and market shifts
• Implement solutions for personalised, real-time reward values
• Develop solutions for identifying underperforming reward campaigns

Requirements

• Proven expertise in building, deploying, and maintaining production ML solutions
• Deep knowledge of statistics including A/B testing, regression, and probability
• Strong programming background in Python and SQL
• Hands-on cloud experience
• Ability to mentor and set technical direction for ML engineers
• Strong communication skills to influence technical and non-technical stakeholders

Preferred Qualifications

• Passion for gaming and understanding of player behaviour
• Experience with adtech, monetisation platforms, or the gambling industry
• Familiarity with gaming KPIs such as pLTV, retention, and ROAS

Benefits

• Equity in Almedia
• Central Berlin office with breakfasts and lunches
• Transport subsidy
• Language learning
• Urban Sports Club membership

About the Company

Almedia is building the future of marketing by rewarding a community of over 70 million users for engaging with advertisers' products. It is one of Europe's fastest-growing companies, aiming to become Germany's second bootstrapped unicorn.