Machine Learning Engineer

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).

We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world.

You'll take ownership of designing, developing, and scaling impactful, production-grade ML solutions that power Almedia's products and growth.

This is a hands-on role involving active participation in code development and delivery.

• Designing and optimising user reward schemes based on player behaviour and market shifts

• Leading the design and implementation of solutions for personalised, real-time reward values

• Developing solutions for identifying underperforming reward campaigns and causes of failure

• 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

• Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments

• Deep knowledge of statistics (A/B testing, regression, probability)

• Strong programming background in Python and SQL, with hands-on cloud experience

• Ability to mentor and set technical direction for ML engineers and cross-functional peers

• Strong communication skills to influence both technical and non-technical stakeholders

• Passion for gaming and strong understanding of player behaviour

• Experience with adtech, monetisation platforms, or the gambling industry

• Familiarity with gaming KPIs such as pLTV, retention, and ROAS