Post-training Agentic Research Scientist, DeepMind

Google Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 190,000 - 236,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind, a leading AI research lab under Alphabet, seeks a Post-training Agentic Research Scientist to advance Gemini-enabled digital agents. You will set up large-scale tests, deploy promising ideas, and manage deadlines while applying cutting-edge theories to develop new products and technologies.

You will publish findings and collaborate with global programs, contributing to both fundamental research and practical applications for billions of users.

Qualifications

• PhD required or equivalent practical experience in CS/AI.
• Experience developing and training ML models is required.
• Experience with DL frameworks (TF, PyTorch, or JAX).

Responsibilities

• Make core contributions to Gemini that advance digital agents for production deployment.
• Identify model areas of improvement and evaluate performance.
• Train and evaluate agents across diverse digital environments.

Skills

Python programming

Deep learning experience

ML model development

NLP / Generative AI experience

Education

PhD in Computer Science, AI or related field

PhD in CS or related field

Tools

TensorFlow

PyTorch

JAX

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.