Research Scientist, Gemini Commercial Intelligence, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Research Scientist to advance Gemini models, set up large-scale tests, prototype ideas, and drive experiments from concept to production.

You will publish findings, collaborate with universities and internal teams, and influence research directions while tackling NLP, planning, RL, and agents.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building and shipping technical products.
• 2 years of experience leading a research agenda.
• Experience with generative AI and large language models.

Responsibilities

• Work with experts on LLMs, multi-modal, recommendation systems, personalization, and ML efficiency.
• Drive new research ideas from conception, experimentation, to production.
• Define data structures, framework, design, and evaluation metrics for research solution development.
• Identify future research areas by collaborating with external and internal partners and plan long-term impact.

Skills

Generative AI domain knowledge

Research leadership

Product development experience

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering, CS, or related field

Job description

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building and shipping technical products.
• 2 years of experience leading a research agenda.
• Experience in the domain area of generative AI and Large Language Models (LLM).

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of research experience (e.g., model training/deployment, efficiency optimization, data pipeline design, ML infra).
• 2 years of experience leading research efforts and influencing other researchers.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

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.

In this role, you’ll be driving innovations and deployments working on Gemini models and Gemini for real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production while working on highly challenging problems, with the chance to see your work make a difference.

Some of our current projects focus on these areas:

• Natural Language & Multimodal Understanding / Generation
• Planning and reasoning
• Reinforcement Learning
• Agents

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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Work with experts on LLMs, multi-modal, recommendation systems, personalization, and ML efficiency.
• Drive new research ideas from conception, experimentation, to production in a rapidly shifting landscape.
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.