Posted 12 days ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
@ Google DeepMind
Toronto, Ontario
SIGNALS
Overview
Google DeepMind is hiring a Research Scientist to lead fundamental AI research on memory, reasoning and continual learning. The work covers long-context attention, RAG, continual learning architectures and benchmark design, and the role includes publishing findings. The posting states a salary of $185,000 to $190,000 CAD plus a 15% bonus target, equity and benefits.
Responsibilities:
- Lead novel research on long-context attention, RAG and continual learning
- Design and run end-to-end experiments on catastrophic forgetting and sample efficiency
- Develop benchmarks for long-horizon memory and complex planning
- Build infrastructure for high-capacity context windows and continuous training
- Publish findings through plots, writeups and papers
Requirements summary:
- PhD in CS, machine learning, mathematics or cognitive science, or equivalent experience
- Two years of AI research with publications at NeurIPS, ICML or ICLR
- Experience in deep learning, reinforcement learning, NLP or continual learning
- Python and a deep learning framework such as JAX, TensorFlow or PyTorch
- Experience in algorithm design, running experiments and analyzing results
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-02
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 2+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required) |
| Fields of study | Computer Science, Machine Learning, Mathematics, Cognitive Science |
| Perks mentioned | Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Google DeepMind
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
Job description
This posting is for a new vacancy.
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
Minimum qualifications:
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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Canada: $185000 - $190000 (CAD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
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.
- 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.
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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Canada: $185000 - $190000 (CAD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- Initiate and lead novel research directions, applying insights from machine learning and related fields (e.g., NLP, Reinforcement Learning (RL), computational neuroscience) to advance long-context attention mechanisms, Retrieval-Augmented Generation (RAG), continual learning architectures, and multi-step reasoning frameworks for social cognition and social reasoning.
- Design and execute end-to-end experiments, proposing and testing hypotheses to better align model-based agents, mitigate catastrophic forgetting, and improve sample efficiency in non-stationary environments.
- Develop evaluations and benchmarks that stress-test long-horizon memory, out-of-distribution generalization, and complex planning capabilities, including in-depth search debugging of failure modes.
- Build and improve infrastructure for high-capacity context windows, dynamic memory structures, and continuous training pipelines in close collaboration with development teams.
- Communicate research findings clearly through plots, writeups, and paper-ready narratives, while contributing to a team culture of first-principles thinking, high standards, and constructive feedback.
Journal
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