AI Research Scientist — LLMs, Post-Training & RL Innovator

Google DeepMind; Mountain View (CA); Presencial; USD 147.000 - 210.000; Jornada completa

Descripción de la vacante

Google DeepMind is seeking a Research Scientist to drive post-training and advanced reasoning research across LLMs and diffusion architectures. You will develop techniques such as self-distillation and environment-in-the-loop RLxF, and work closely with product teams to deploy breakthroughs at scale.

You will contribute to manuscripts and publish findings at leading venues, collaborating with internal teams and external partners while advancing AI for global challenges.

Formación

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent practical experience.
• 2 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
• 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch and Hugging Face Transformers).
• 1 year of experience developing algorithms for intelligent agents, including areas such as planning, reinforcement learning, or multi-agent systems.
• Experience in artificial intelligence or machine learning.

Responsabilidades

• Drive foundational post-training and advanced reasoning research across LLMs and diffusion architectures.
• Develop next-generation post-training techniques—self-distillation, scaling RLxF for complex agentic capabilities, environment-in-the-loop RLxF recipes.
• Bridge algorithmic innovation with deployment by partnering with GDM verticals to integrate breakthroughs into products/services.
• Take end-to-end ownership of your algorithms and ensure they feed production systems.
• Publish research manuscripts and contribute to venues (ICLR, ICML, NeurIPS) with GDM approvals.

Conocimientos

ML/AI experience

Python experience

Intelligent agents

AI/ML modeling

Deep learning

Educación

Bachelor's degree in CS/EE or related field

Master's degree or PhD preferred

Herramientas

Keras

PyTorch

Hugging Face Transformers

Descripción del empleo

Google DeepMind is seeking a Research Scientist to drive post-training and advanced reasoning research across LLMs and diffusion architectures. You will develop techniques such as self-distillation and environment-in-the-loop RLxF, and work closely with product teams to deploy breakthroughs at scale.

You will contribute to manuscripts and publish findings at leading venues, collaborating with internal teams and external partners while advancing AI for global challenges.