Senior Machine Learning Engineer

Berlin

Almedia

Almedia operates Freecash.com & other web-apps which connect millions of consumers with brands to shape the products of tomorrow.

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Almedia is the fastest-growing advertising company in Europe according to the FT1000, offering mobile game and app developers unparalleled returns from rewarded user acquisition. We are engineering the future of UA with our data-driven approach and community of over 40 million users engaging with games, apps, and surveys.

Based in the heart of Berlin, our collaborative approach offers the opportunity for our clients to acquire 10,000 users daily, providing consistent value and improved ROAS in the short and long term.

Join the Foundational Team

We are seeking an experienced Senior Machine Learning Engineer to be part of our foundational Machine Learning team in Berlin

Types of problem you'll be solving:

  • Building a best in class recommendation system.

  • Maximising player lifetime value (pLTV) problems in a complex business model using causal ML and sequence modelling.

  • Designing and optimising reward schemes using Bayesian modelling, based on player behaviours and market shifts

What You’ll Do:

  • Design, implement, and deploy scalable machine learning models to solve complex real-world problems in the Ad-Tech domain.

  • Collaborate closely with Data Scientists to productionise ML models, ensuring optimal performance and reliability in a dynamic environment.

  • Build robust data pipelines to preprocess, transform, and ensure high-quality datasets for ML model training and evaluation.

  • Develop APIs and systems to integrate ML solutions into production, enabling seamless use by cross-functional teams.

  • Monitor and optimise ML systems post-deployment, ensuring model health and iterating based on performance feedback.

  • Partner with product managers, engineers, and marketing teams to align ML solutions with business needs.

We’re Looking For:

  • Proven Experience: Expertise in building, deploying, and maintaining machine learning models in production environments.

  • Programming Skills: Strong proficiency in Python and SQL. Familiarity with frameworks like TensorFlow, PyTorch, or similar.

  • Cloud Computing: Hands-on experience with cloud platform and their ML services.

  • System Design: Knowledge of software engineering best practices, including version control, CI/CD, and microservices architecture.

  • Collaboration: Excellent communication skills to convey technical concepts to non-technical stakeholders and work effectively across teams.

Bonus points for:

  • Passion for gaming and a deep understanding of player behaviour and game design principles.

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

  • Knowledge of gaming metrics and KPIs, including pLTV, retention, and ROAS.

Why Almedia? 🚀

  • Become an owner: As part of our virtual equity option policy, you’ll have the opportunity to share in Almedia’s success and growth.

  • Innovative and high-growth: Join a startup that has been profitable from day one and is rapidly scaling its impact in the Ad-Tech space.

  • Berlin Office & Collaborative Hub: Work primarily from our modern, centrally located Berlin office, designed to foster strong collaboration, team connection, and organic growth as we build together.

  • Other Benefits: Enjoy a range of benefits designed to support your well-being and growth, including weekly breakfast and lunch at the office, a public transport ticket, gym membership, language classes, and with more exciting additions on the horizon.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth—whether you aspire to be a future leader or a specialist. Almedia is an equal opportunity employer; we embrace and celebrate diversity, encouraging individuals from all backgrounds to apply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Architecture Bayesian CI/CD Data pipelines Engineering KPIs Machine Learning Microservices ML models Model training Pipelines Python PyTorch SQL TensorFlow

Perks/benefits: Career development Fitness / gym Health care Salary bonus Startup environment

Region: Europe
Country: Germany

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