Research Scientist in RL, DeepMind

Staff Research Scientist in RL, Deep Mind

Locations:
New York, NY, USA;
Mountain View, CA, USA

• PhD in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
• 4 years of experience in Reinforcement Learning (RL).
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

• 2 years of experience in coding and leading multiple research efforts and influencing research direction.

Research and Develop the Next Generation of Gemini Post Training Recipes and Algorithms. Join Deep Mind as a Research Scientist and shape the future of artificial intelligence. We are seeking a creative and driven scientist to pioneer the next generation of Reinforcement Learning (RL) techniques that will define the capabilities and safety of our Gemini models. Your work will address some of the most critical and challenging questions in the field today.

Artificial intelligence will be one of humanity’s most transformative inventions. At Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high‑quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Lead ambitious, long‑term research projects aimed at achieving fundamental breakthroughs in Reinforcement Learning and AI alignment.
• Develop the next generation of post training algorithms.
• Invent, develop, and rigorously test novel algorithms and theoretical frameworks that advance current capabilities in controlling and steering large‑scale models.
• Partner with teams to transform your scientific discoveries into real‑world impact on a global scale via the Gemini models.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

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