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adjoe
adjoe
201 – 500 Employees
B2BGamingMarketing
adjoe is a mobile adtech company serving app publishers and advertisers with tools for monetization, user acquisition, and loyalty. Its in-house platform includes adjoe Exchange for supply-side mediation, along with ad formats and SDK-based products such as adjoe Ads, Playtime, and adjoe Arcade. These products use rewarded gaming and loyalty mechanics to support revenue, engagement, and retention. adjoe also focuses on audience targeting, analytics, anti-fraud measures, and information security as it connects advertisers with mobile users at scale.
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Senior Machine Learning Research Scientist – Generative Recommendation (Hamburg Hybrid)

Lead research and production development for generative recommendation systems supporting adjoe’s mobile advertising products. Build scalable embeddings, ranking models, and AI capabilities serving data from more than 770 million users.

DEGermanyHybridFull-timeSeniorEnglish RequiredAI Research ScientistMachine Learning Engineer
PyTorch

Description

  • Create foundational machine learning representations and advanced AI capabilities for Playtime Arcade and adjoe Ads
  • Develop user embeddings, content-understanding methods, and sequential recommendation models
  • Convert current research into production-grade software designed for sub-millisecond latency
  • Design multi-stage recommendation architectures covering Generative Retrieval, Deep Ranking, and re-ranking
  • Support millions of requests using behavioral and transactional data from more than 770 million users
  • Optimize and deploy large generative models within demanding production constraints
  • Investigate and build information-rich embeddings for users and advertisements
  • Manage the AI lifecycle from interpreting academic research and offline experimentation through production release
  • Guide architecture discussions, support junior scientists, and influence the team’s research agenda

Requirements

  • PhD in computer science, statistics, mathematics, or physics, or an MSc supported by extensive industry research experience
  • Research publications in leading venues including SIGIR, KDD, NeurIPS, or ICLR
  • At least four years of experience developing large-scale recommender systems in high-throughput settings such as AdTech, e-commerce, or social platforms
  • Demonstrated ability to turn research work into reliable, production-ready software
  • Experience designing multi-stage recommendation pipelines, including Generative Retrieval, Deep Ranking, and re-ranking
  • Practical proficiency with PyTorch
  • Experience optimizing high-concurrency systems and applying model quantization and distillation
  • Background developing user and advertising embeddings with unsupervised and generative techniques
  • Ability to lead architecture discussions, mentor junior scientists, and set research direction
  • Availability to work onsite in Hamburg three days per week

Benefits

  • Relocation assistance for moving to Hamburg, Germany
  • Work on systems used by hundreds of millions of people and responsible for billions of daily decisions
  • Direct ownership of high-impact initiatives affecting 770 million users
  • Work in an international team represented by colleagues from more than 40 countries
  • Develop professionally through research leadership, mentoring, and close collaboration

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