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Machine Learning Research Scientist

European Tech Recruit · Berlin Metropolitan Area

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Senior ML Research ScientistBerlin, Germany | Hybrid, 3 days per week onsiteAn ambitious AI research organisation is developing safe-by-design, non-agentic AI focused on understanding and predicting the world rather than acting upon it. As a Senior ML Research Scientist, you’ll work with researchers, mathematicians and ML engineers on advanced deep learning, large-scale models, experimentation and evaluation. This is a hands-on research role where you’ll help develop novel ML approaches and shape the technical direction of a genuinely different AI programme.Key ResponsibilitiesDesign and implement novel ML approaches for complex research problems.Develop and run large-scale experiments and evaluate model behaviour.Adapt and fine-tune advanced and foundation models.Build rigorous evaluation methodologies and benchmarks.Analyse results and identify new research directions.Work closely with researchers, mathematicians and ML engineers.Required Experience & SkillsEssentialPhD in Computer Science, ML, Mathematics, Statistics or related field.Publications at NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR or similar.3-8 years' experience in ML/deep learning research or industry.Hands-on experience developing and training ML models.Experience with large-scale models, foundation models or LLMs.Strong Python and PyTorch, JAX or TensorFlow skills.Experience designing experiments and evaluating ML models.Experience with distributed or large-scale ML workloads.Strong understanding of modern deep learning methodologies.Desirable: open-source contributions; AI safety, alignment, interpretability, robustness or model evaluation experience; Foundation model or frontier AI research experience; Probabilistic modelling, Bayesian methods or statistical ML; NLP, scientific ML or advanced model adaptation experience; Experience with distributed training/inference infrastructure.Why Apply?Work on a fundamentally different approach to advanced AI, centred on safe-by-design, non-agentic systems.Contribute directly to research direction rather than simply implementing an established roadmap.Collaborate with a highly technical team of researchers, mathematicians and ML engineers.Tackle challenging problems across deep learning, foundation models and AI safety.Make a meaningful contribution to the development of safer AI and scientific discovery.Apply now or send a copy of your CV, referencing the title and location, and with a short introduction to cw@eu-recruit.com.By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (Privacy Notice).