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

adjoe is 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.

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.

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 building large-scale recommenders in high-throughput industries (AdTech, E-com, or Social).

Full-Stack Researcher: Deeply proficient in PyTorch with experience in high-concurrency optimization, model quantization, and distillation.

Independent Driver: You don't need a roadmap; you create it. You thrive on solving "unsolved" problems with a direct impact on business ROI.