Senior ML Research Engineer – AI & Generative Recommendation (m/f/d) in Berlin, Vermont at applike group
NewJob Function: Research
applike group
Berlin, Vermont, 05641, United States
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Job Description
Senior ML Research Engineer AI & Generative Recommendation (m/f/d)
Who You Are:Fuel for the Journey: Benefits to Support Your Ambitions
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.
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.
- 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.
- Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skillset and achieve your career goals.
- Easy Arrival to adjoe: From signing to settling in Berlin, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Berlin? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
- Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
- Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
Our mission is to create an inspiring work environment for amazing people to achieve extraordinary things. Be part of it!
Skip writing cover letters. Tell us about your most passionate personal project, your desired salary, and your earliest possible start date. We are looking forward to your application!
We welcome applications from people who will contribute to the diversity of our company.
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Job Location
Berlin, Vermont, 05641, United States
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