At a Glance
- Tasks: Conduct groundbreaking research in reinforcement learning and implement innovative algorithms.
- Company: Join DeepMind, a leading AI lab focused on transformative technology.
- Benefits: Competitive salary, diverse career pathways, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high standards and constructive feedback.
- Why this job: Make a real impact on AI development and solve complex global challenges.
- Qualifications: PhD in Machine Learning and experience in reinforcement learning research.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
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.
Responsibilities 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.
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. #J-18808-Ljbffr
Research Scientist, Reinforcement Learning, DeepMind in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.
