applike group

Senior/Staff ML Scientist – Bidding & Optimization (f/m/d)

Stellenbeschreibung:

The interview process at applike group is seamless, fast, and fun for you! Recruiting is a two-way street, so that's why our process is designed for both you and us to get to know each other. Our Talent Acquisition team is there to guide you through the process, making sure you will receive the best candidate experience. The process is usually divided into 5 major steps:First InterviewIn the first interview you will meet someone from the Talent Acquisition team to get to know more about the company, our culture and the open role.Case Study StepWe designed this step to get a deeper understanding of your skills and also give you some insights into tasks that might be awaiting you in the new role.#### Senior/Staff ML Scientist - Bidding & Optimization (f/m/d)* Berlin* adjoe* Data Science Research* Full timeadjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on **13% of the world's smartphones**, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.**Next-Gen Machine Intelligence for Auctions & Real-Time Bidding**The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products. Operating as a horizontal deep-tech layer, the team leverages advanced AI - specifically reinforcement learning, objective-based optimization, and control theory - to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from **over 770 million users**.The team operates at the intersection of **high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning**. Acting as the company's internal science bar raiser, they translate complex business constraints into mathematical objectives. The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure. The full lifecycle of these AI capabilities is owned by the team - from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second.**Your Mission & Who We Are Looking For:*** **PhD or equivalent research depth, with a production track record.** You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You've spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading.* **You translate research into production, not just prototypes.** You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users.* **Deep expertise in Reinforcement Learning and Optimization.** You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints.* **Mastering high-dimensional data at scale.** Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models.* **Raises the technical bar around them.** You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team's research direction without needing a roadmap handed to you.#### **We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.**At adjoe, you're not here to just close JIRA tickets, you're helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.* **Go Big.** Own projects with impact on 770M users and push adtech boundaries.* **Move Fast.** Ship solutions multiple times a day, learn from results, and keep momentum.* **Be Direct.** Solve problems openly and collaborate across teams.* **Thrive Together.** Grow with a diverse, global team of people from over 40 different countries that learn from each other.* **Have Fun.** Celebrate wins, enjoy daily victories, and bring your energy.We welcome applications from people who will contribute to the diversity of our company.manage\\_search### Do some researchWe will give you all the information about the role & company's culture, but it's always nice to see how you perceive us after doing some online detective work.person\\_celebrate### Let your personality shineIt is a recruiting process, but this doesn't mean you can't loosen up and showcase your personality. We are looking for an authentic character and we are open to having some small talk or a funny joke thrown into the mix. This might even show us that you're a good cultural fit. Remember, next to all our ambition we like to have fun!## Finding Home Abroad - Relocation StoriesWe're supporting new colleagues from all over the world to move to Hamburg, Germany - see what they have to share about their relocation experience:\"I moved to Hamburg from New Zealand. It is easily the most beautiful city in Germany, and in my eyes, the whole world. My story is a little different, as I was already living here when I found my role at applike group, but the experience was just as seamless. applike supported me through the full visa change process from day one. The People team made something very complex feel simple, clear, and fully taken care of. You are in good hands!\"Gemma - applike grouprelocated Hamburg from New Zealand\"Relocating always comes with plenty of challenges, but applike helped make the entire process very straightforward. From quick visa support to helping secure accommodation, my family (wife and son) and I were able to smoothly move to Hamburg within just two months. Just 2 weeks in, all essential paperwork had already been sorted, and my son was already attending kindergarten, allowing me to fully focus on my new role and getting settled in.\"Yuriy - adjoerelocated from Israel to Hamburg with spouse and child\"Moving to Hamburg was a breeze thanks to adjoe/applike. They managed every detail, from flights to accommodation, and their thorough support made me feel valued even before starting my new role. The entire experience was smooth and memorable, making my transition to this beautiful city unforgettable.\"Kim - adjoerelocated from the PhilippinesWe aim to make our recruiting process as fast and efficient as possible, but the duration can vary depending on the role you are applying for. Usually we are really fast, though (less than 4 weeks).Yes, if you see multiple roles open that match your skill set, you can apply for them simultaneously. Our Talent Acquisition
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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Okt 2026
  • Standort:

    Hamburg

    Einsatzort:

    Hamburg, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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