Senior Research Scientist FMTA
DeepLMachine Translation company
London, United KingdomSenior
IVP
Bessemer Venture Partners
Index Ventures
ICONIQ Growth
Atomico
Teachers' Venture Growth
Data & AI
About the role
TL;DR
Senior Research Scientist to develop and deploy AI research in reinforcement learning and model adaptation.
- •DeepL is seeking a Senior Research Scientist to join their Foundation Model Task Adaptation (FMTA) team.
- •This role focuses on developing and deploying cutting-edge research in reinforcement learning and post-training of large language models at scale.
- •Key Responsibilities Build and deploy state-of-the-art reinforcement learning pipelines at scale.
- •Post-train large (multi-modal) models to align them with human intent and enable general capabilities such as reasoning.
- •Manage the entire lifecycle of research and production, from idea conception to deployment.
- •Collaborate with Engineering, ML Platform, and HPC teams to deliver robust model updates.
- •Requirements Strong practical background in Python and at least one modern machine learning framework (PyTorch, TensorFlow, or JAX).
- •Proven track record of driving research in reinforcement learning or large-scale model alignment to production.
- •Solid mathematical background and experience solving challenging problems.
- •Experience working with large compute clusters and ML infrastructure is a plus.
Required skills
PythonPyTorchTensorFlowJAXLLMsNLP
Nice-to-have skills
Computer VisionMLflowKubeflowSageMakerVertex AIONNX
Domain expertise
aideveloper-tools
Benefits & perks
Hybrid work, Flexible hours, 30 days of annual leave, Mental health resources, Competitive benefits
Tech stack
PythonPyTorchTensorFlowJAXLLMsNLPComputer Vision