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Minimum qualifications

• PhD in Computer Science, Machine Learning, Mathematics, Cognitive Science, or a related technical field, or equivalent practical experience.
• 2 years of experience in artificial intelligence research, including publications in conferences or journals (e.g., NeurIPS, ICML, ICLR).
• Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
• Experience in Python and deep learning framework (e.g., JAX, TensorFlow, PyTorch).
• Experience in algorithms design, running experiments, and analyzing results.

Preferred qualifications

• Postdoctoral or equivalent industry research experience focusing on large language models, autonomous agents, or long-context memory systems.
• Experience designing novel benchmarks or evaluation frameworks for complex planning and reasoning capabilities.
• Knowledge of the interdisciplinary intersection between machine learning and neurobiology or computational neuroscience.
• Ability to contribute to open-source ML software or experience in collaborating with cross-functional teams.
• Familiarity with distributed training techniques and building infrastructure for high-capacity context windows.

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.

Our Research Scientists at DeepMind are at the forefront of advancing artificial intelligence. In this role, you will join our team focused on pushing forward fundamental research and technology in Artificial Intelligence, specifically in the domains of Memory, Reasoning, and Continual Learning. This role offers the opportunity to contribute to groundbreaking research and publish in venues.