DeepL9 дней назад

Senior Research Scientist | Model Scaling

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Обязанности

01Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems
02Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters, including Mixture-of-Experts and other sparse or efficient designs
03Design multi-capability adaptation strategies using LoRA, PEFT, and related methods
04Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production, with rigorous and reproducible evaluation
05Partner closely with post-training, RL/RLHF, and instruction-following specialists to integrate alignment and capability work into the base model
06Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team

01Strong hands-on experience adapting and scaling large language models via fine-tuning, instruction-tuning, or post-training of multi-billion-parameter models beyond black-box use
02Sound judgment about architecture trade-offs at scale (e.g. dense vs. MoE) and about which open-weight foundation models to build on
03Working knowledge of parameter-efficient and multi-capability adaptation (LoRA/PEFT and variants)
04A hands-on builder who enjoys training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering
05Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow)
06Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities

01Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities
02Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication