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- Tasks: Design and develop impactful machine learning solutions that drive Almedia's growth.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming to become Germany's next unicorn.
- Benefits: Equity options, transport subsidies, free meals, and a vibrant office in central Berlin.
- Other info: Dynamic startup culture with opportunities for rapid career growth and mentorship.
- Why this job: Be part of a revolutionary marketing platform and make a real impact on user engagement.
- Qualifications: Experience in ML solutions, strong Python and SQL skills, and a passion for gaming is a plus.
The predicted salary is between 36000 - 60000 £ per year.
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 60 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.
Types of problems you’ll be solving:
- 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
Your role:
- 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
You have:
- 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
Bonus points for:
- 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
Why Almedia?
- Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
- Scale With Almedia: Grow alongside a startup that has been profitable from day one.
- Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
- Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
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.
Machine Learning Engineer employer: ALmedia
Contact Detail:
ALmedia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to stand out and show us why you’re the perfect fit for Almedia.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion: When you’re writing your application, let your enthusiasm for machine learning and the gaming industry shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about what we do at Almedia!
Tailor Your CV: Make sure your CV is tailored to highlight your experience in building and deploying ML solutions. We love seeing specific examples of how you've tackled challenges in high-scale environments, so don’t hold back on the details!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your skills and experiences. Avoid jargon unless it’s relevant to the role – we want to understand your journey!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Almedia.
How to prepare for a job interview at ALmedia
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around designing and optimising user reward schemes. Be ready to discuss your past projects and how you've tackled similar challenges in production environments.
✨Show Off Your Coding Skills
Since this role is hands-on, be prepared to demonstrate your programming prowess in Python and SQL. You might even get a coding challenge during the interview, so practice writing clean, efficient code that aligns with best practices.
✨Communicate Like a Pro
Strong communication skills are key, especially when influencing both technical and non-technical stakeholders. Practice explaining complex ML concepts in simple terms, and think about how you can align technical solutions with business priorities.
✨Get Familiar with Gaming KPIs
If you have a passion for gaming, make sure to highlight it! Understanding player behaviour and gaming KPIs like pLTV and retention will give you an edge. Be ready to discuss how these metrics can inform your ML solutions.