Research Scientist, GenAI BigML, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind seeks a Research Scientist to design large-scale experiments and prototype architectures, deploying ideas broadly across teams. You will drive research from experiments to production concepts, tackling problems spanning machine learning, data mining, NLP, and more.

You will publish findings and collaborate with universities and institutes, advancing AI with a strong emphasis on safety and ethics. The role supports diverse research initiatives at Google DeepMind.

Qualifications

• PhD in CS or related field (or equivalent practical experience) is required.
• 4 years of experience coordinating research across multiple teams or projects.
• One or more scientific publication submissions to conferences, journals, or public repositories.

Responsibilities

• Author research papers to share and impact results across organizations and the research community.
• Review papers and contribute to program committees and grant panels to advance research growth.
• Deliver sizable portions of projects by defining data structures, frameworks, designs, and evaluation metrics.

Skills

Research experience

Publications

Education

PhD in Computer Science or related field

Equivalent practical experience

Job description

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

Minimum qualifications

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).

Preferred qualifications

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

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Author research papers to share and generate impact of research results across organizations and in the research community.
• Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
• Deliver on large portions of a project 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. Develop long-term research strategy and plans to expand the impact of Google research.
• Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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.