Summary
Develop large-scale recommendation and ranking systems, deploy real-time machine learning models, own production ML pipelines, and collaborate across engineering and product teams.
Highlights
Hybrid work, visa and relocation support, technical ownership, large-scale production ML systems, and international environment.
Description
Senior Machine Learning Engineer โ AdTech & Recommendation Systems
What's On Offer
Competitive salary, depending on experience and seniorityHybrid working model based in Hamburg, Germany, with relocation and visa support availableInternational, English-speaking environmentGenuine technical ownership on large-scale deep learning, recommendation, and real-time serving systemsStrong opportunities for career growth within a fast-moving Data Science organization
The Role
We are supporting a leading mobile advertising platform, operating at massive scale across hundreds of millions of users, in growing their Machine Learning Engineering team.
You'll be working on real-time bidding optimization, ad ranking, and conversion modeling โ systems that make live decisions in milliseconds at massive scale.
Build and optimize deep learning models for recommendation, ranking, and biddingDesign and deploy real-time, low-latency inference systems serving live production trafficDevelop scalable machine learning solutions using modern deep learning techniquesWork with massive production datasets to improve model performance and business outcomesOwn models end-to-end โ from research and experimentation through production deployment and A/B testingCollaborate closely with engineering and product teams to translate ML into measurable business impact
What We're Looking For
5+ years of experience in Data Science, Machine Learning Engineering, or Applied ScienceStrong hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)Experience with large-scale recommendation systems, ranking, or personalization modelsExperience building and deploying real-time, low-latency production ML systems (online inference, live serving) โ this is essentialStrong Python and SQL skills, with experience integrating models into production pipelinesExperience in AdTech, mobile gaming, e-commerce, or a similarly large-scale consumer platformExperience with real-time bidding or programmatic advertising is a strong plus
This role is focused on recommendation, ranking, and bidding systems โ not conversational AI, RAG, or LLM application engineering.
If your recent work has been primarily LLM/GenAI/chatbot development without a strong recommendation systems foundation, this likely isn't the right fit.
Apply
If you're passionate about building large-scale, real-time machine learning systems in a fast-paced, high-impact environment, we'd love to hear from you.
Apply today or get in touch for a confidential discussion.