Research Scientist, Gemini Horizon, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Research Scientist for the Gemini Horizon initiative. You will set up large-scale tests, deploy promising ideas, and work across disciplines to advance AI research and product integration.

Requirements include a PhD or equivalent in CS/AI/ML and at least 1 year of experience with Generative AI, LLMs, or RL post-training. The role emphasizes collaboration, ethics, and scientific rigor.

Qualifications

• PhD in CS/AI/ML or equivalent practical experience.
• 1 year experience with Generative AI, LLMs, NLP, or agent-based systems.
• 1 year experience on modern LLM post-training, model alignment, or core generative model development.

Responsibilities

• Set up large-scale tests and deploy promising ideas quickly and broadly.
• Prototype implementations and design new architectures for real-world problems.
• Publish findings and contribute to wider research community.
• Work with internal teams and external partners to advance Gemini Horizon.

Skills

PhD/Equival

Generative AI/LLMs

LLM post-training (SFT/RLHF)

Education

PhD in CS/AI/ML

Tools

RL frameworks

Job description

Research Scientist, Gemini Horizon, DeepMind

DeepMind Mountain View, CA, USA

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
• 1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems.
• 1 year of experience working on modern large language model post-training (e.g., SFT, RLHF, DPO, PPO), model alignment, or core generative model development in an industry AI lab, research institute, or frontier AI organization.

Preferred qualifications:

• Experience with reinforcement learning for LLM post-training.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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 diverse 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Improve Gemini with new Reinforcement Learning (RL) environments, evaluations, changes to the RL recipe, or ideas.
• Explore domains where Gemini should be superhuman (e.g., security, hardware, performance engineering, scientific computing, or something we have not thought of) and build the evaluations that show the gap is real.
• Invent new ways of manufacturing hard problems and the graders that make them verifiable.
• Evaluate and train Gemini on your environments, read the trajectories to see what it is actually learning, and land what transfers into production.
• Contribute to identifying and delivering breakthroughs for Gemini.

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/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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.