Research Scientist, Strategic Bets, DeepMind
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- PhD degree in Machine learning, AI, or a related computational field, or equivalent practical experience.
- Experience in delivering research impact through publications, open-source contributions, or deployed systems.
- Experience with large language models, agentic workflows (e.g., tool use, decomposition, multi-agent coordination), or inference-time reasoning architectures.
- Programming experience across common scripting languages and ML pipelining tools.
- Experience in probabilistic modeling, uncertainty quantification, calibration, or reinforcement learning.
Preferred qualifications:
- Experience with prediction markets, quantitative research, temporal data modeling, or real-world forecasting benchmarks.
- Familiarity with process-based reward modeling, automated design of agentic systems, or search/retrieval-augmented generation.
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.
Responsibilities
- Engage with existing research efforts to build AI systems capable of superhuman probabilistic estimation, focusing on domains with no clean time series or stable reference classes.
- Collaborate with researchers and engineers to design novel structured reasoning approaches, iterative self-improvement loops, and multi-agent workflows that improve estimation quality and calibration.
- Research solutions to core forecasting issues, including temporal reasoning, information retrieval and filtering, coherent world-modeling, and novel reward structures for multi-step reasoning.
- Engage with product teams and enterprise partners to drive the deployment of our research into high-stakes decision-making environments.
- Report and present research findings clearly and efficiently both internally and externally, and suggest team collaborations to meet research goals for the wider Science program.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.