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Post-training Agentic Research Scientist
Summary by AIEngineer.careers
Post-training Agentic Research Scientist is a AI Research Scientist role (full-time). with DeepMind. in MOUNTAIN VIEW, US. Imported listing (source: localjobs.com). Apply on the employer's site (localjobs.com).
Imported listing (source: localjobs.com) · Apply on localjobs.com
MOUNTAIN VIEW · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.com
This role focuses on developing and training advanced machine learning models, with core contributions to Google's Gemini platform for digital agents. The position emphasizes multi-step reinforcement learning techniques within complex multimodal environments. Candidates will drive innovation in agentic AI systems and contribute to cutting-edge research in autonomous model behavior.
Responsibilities
- Develop and train machine learning models for digital agent applications
- Contribute to the architecture and capabilities of the Gemini platform
- Design and implement multi-step reinforcement learning algorithms
- Experiment with and optimize multimodal environment simulations
Requirements
- Ph.D. or M.S. in Computer Science, Machine Learning, or a related field
- Strong foundational knowledge in reinforcement learning and deep learning
- Experience with large-scale model training, evaluation, and deployment
- Proficiency in Python and modern ML frameworks such as PyTorch or JAX
Nice to Have
- Publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
DeepMind
Greater London · GB · 5600+ employees
Google DeepMind is a leading artificial intelligence research laboratory formed by the merger of DeepMind and Google Brain. It is a subsidiary of Alphabet Inc. focused on developing advanced AI systems and conducting breakthrough research to solve complex scientific and societal challenges.
