Senior ML Research Engineer – AI & Generative Recommendation (m/f/d)

Company: AppLike GmbH

Location: Berlin

Type: Full-time

Posted: 2026-05-07

About this role

adjoeis redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Together, this ecosystem connects app developers to over 770 million users worldwide for scalable growth. We are a profitable, high-growth company backed by a $100 million investment from Bertelsmann. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.

### What You Will Do:

  • **Architect Multi-Stage Recommendation Pipelines:** Lead the design and implementation of our AI-Native Recommendation Pipelines, encompassing Generative Retrieval, Deep Ranking, and Re-ranking, serving millions of requests.
  • **Bridge Theory to Production:** Act as the team’s primary "Paper2Code Ninja," distilling SOTA research (NeurIPS, KDD, RecSys) into robust, production-ready code optimized for sub-millisecond latency.
  • **Evolve Content Understanding:** Direct the research on information-rich embeddings, utilizing unsupervised and generative approaches to create a unified representation of users and ads.
  • **Scale Innovative Tech:** Own the transfer of innovative technologies into high-concurrency environments, ensuring large-scale generative models thrive under extreme production constraints.
  • **Act as a Team Multiplier:** Lead architectural debates, mentor junior scientists, and foster a collaborative environment where constructive feedback pushes the team to excel.

### Who You Are:

  • **The Scholar-Architect:** PhD in CS, Stats, Math, or Physics (or MSc with extensive industry research) and a track record of publications in top-tier venues (SIGIR, KDD, NeurIPS, ICLR, etc.).
  • **RecSys Veteran:** 4+ years of professional experience bu...

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