Post-training Agentic Research Scientist, DeepMind

Google Inc.; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a Post-training Agentic Research Scientist to advance Gemini and deploy scalable digital agents. You will set up large-scale tests, identify improvements, and evaluate agents across diverse digital environments.

Applicants should have a PhD in CS/AI or equivalent, 2+ years in ML model development, and strong Python experience, with expertise in deep learning frameworks and generative AI. This role offers global impact within Google DeepMind's research mission.

Qualifications

• PhD in CS/AI or related field or equivalent practical experience.
• 2+ years of experience developing and training ML models.
• Experience with deep learning frameworks (TensorFlow, PyTorch, JAX).
• Experience with Large Language Models, NLP, or Generative AI.

Responsibilities

• Make core contributions to Gemini that advance digital agents for production.
• Identify model areas of improvement.
• Train and evaluate agents across diverse digital environments.
• Focus on multi-step reinforcement learning in multimodal environments.

Skills

Python programming

Deep learning frameworks

Large Language Models / NLP / Generive

ML model development & training

Education

PhD in CS/AI or equivalent practical experience

PhD in CS or related field (preferred)

Job description

Post-training Agentic Research Scientist, DeepMind

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• PhD degree in Computer Science, Artificial Intelligence, a related field, or equivalent practical experience.
• 2 years of experience in developing and training machine learning models
• Experience developing and deploying models using deep learning frameworks (e.g., TensorFlow, PyTorch, or JAX).
• Experience with Large Language Models, NLP, or Generative AI.
• Experience in Python programming.

Preferred qualifications:

• PhD degree in Computer Science or a related field.
• Experience in Generative AI.
• Deep expertise in reinforcement learning.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

• Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
• Identify model areas of improvement.
• Train and evaluate agents across various digital environments.
• Focus on multi-step reinforcement learning in multimodal, digital environments.

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.

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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.