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Google DeepMind

Research Scientist, Strategic Bets, DeepMind

London
Posted about 22 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.

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Skills

Machine Learning
Artificial Intelligence
Large Language Models
Agentic Workflows
Probabilistic Modeling
Reinforcement Learning
Uncertainty Quantification
Temporal Data Modeling
Retrieval-Augmented Generation
Python
ML Pipelining
Quantitative Research
Forecasting
Structured Reasoning
Data Mining
Natural Language Processing

Location

London, England, United Kingdom

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