Senior ML Research Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior ML Research Engineer (AI & Generative Recommendation): Leading the design and implementation of AI-native recommendation pipelines with an accent on generative retrieval, deep ranking, and re-ranking. Focus on distilling SOTA research into production-ready code and optimizing high-concurrency generative models for sub-millisecond latency.
Location: Hybrid (Hamburg/Berlin). Must be based in or be able to relocate to Germany.
Company
is a high-growth AI-powered mobile advertising company redefining the offerwall experience for app publishers.
What you will do
- Architect multi-stage recommendation pipelines encompassing Generative Retrieval, Deep Ranking, and Re-ranking.
- Convert SOTA research from venues like NeurIPS, KDD, and RecSys into robust, production-ready code.
- Direct research on information-rich embeddings using unsupervised and generative approaches for user and ad representations.
- Scale innovative technologies and generative models into high-concurrency environments with extreme production constraints.
- Mentor junior scientists and lead architectural debates to foster a collaborative research environment.
Requirements
- PhD in CS, Stats, Math, or Physics (or MSc with extensive industry research).
- Proven track record of publications in top-tier venues such as SIGIR, KDD, NeurIPS, or ICLR.
- 4+ years of professional experience building large-scale recommenders in AdTech, E-commerce, or Social industries.
- Deep proficiency in PyTorch, including experience in model quantization and distillation.
- Ability to work in a hybrid setup (3 core office days) in Germany.
Culture & Benefits
- Hybrid work model with 3 core office days, flexible working hours, and 3 weeks of remote work per year.
- Relocation bonus and full visa support for settling in Germany.
- 30 vacation days and comprehensive mental health support through an Employee Assistance Program (EAP).
- Free access to an in-house gym with various fitness classes.
- Structured development program and regular feedback to support professional growth.
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