At a Glance
- Tasks: Drive groundbreaking research in reinforcement learning and implement innovative algorithms.
- Company: Join Google DeepMind, a leader in AI research and innovation.
- Benefits: Collaborative environment, diverse learning opportunities, and impactful projects.
- Other info: Be part of a tight-knit team pushing the boundaries of AI.
- Why this job: Make a real difference in AI development and tackle global challenges.
- Qualifications: PhD in Machine Learning and experience in reinforcement learning research.
The predicted salary is between 63000 - 77000 £ per year.
Propose and pursue novel research directions by formulating and testing hypotheses.
Implement algorithmic ideas and conduct end-to-end experiments, analyzing results and iterating on findings.
Design evaluations and ablations to answer key questions and drive research decisions.
Build and improve infrastructure to enable research at scale.
Communicate research findings through write-ups, presentations, and publications, while fostering a culture of high standards and constructive feedback.
Minimum qualifications: Ph D in Machine Learning, or equivalent practical experience.2 years of experience implementing algorithms within research codebases.
Experience conducting research in reinforcement learning, including contributions to peer-reviewed publications.
Experience designing and executing end-to-end experiments, including setup, analysis, and interpretation.
Preferred qualifications: Experience with advanced reinforcement learning topics, such as RL for sequence models, post-training, preference-based learning, or agentic systems.
Familiarity with modern research stacks (e. g., JAX/Flax or Py Torch) and experience scaling experiments.
Ability to be comfortable with scaling methodologies, evaluation techniques, and diagnosing complex failure modes.
Ability to push projects forward, prioritize effectively, and take initiative.
Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations.
Excellent communication skills, with a focus on clear presentation of research results.
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.
Deep Mind’s Reinforcement Learning (RL) team is a long-standing and tight-knit team of collaborative scientists and engineers.
We address research issues in reinforcement learning.
We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact.
Over the past decade, members of the RL team have been instrumental in building DQN, Alpha Go, Rainbow, Alpha Zero, Mu Zero, Alpha Star, Alpha Proof and Gemini.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google Deep Mind, 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.
Ph D in Machine Learning, or equivalent practical experience.2 years of experience implementing algorithms within research codebases.
Experience conducting research in reinforcement learning, including contributions to peer-reviewed publications.
Experience designing and executing end-to-end experiments, including setup, analysis, and interpretation.
Research Scientist, Reinforcement Learning, DeepMind employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
