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    • PhD in Computer Science, Machine Learning, Mathematics, Cognitive Science,…
    • The Research Analyst will work closely with the Principal Investigator (PI) and the postdoctoral fellow who leads the project.
    • Applicants must have a PhD, MD, or MD/PhD in a relevant discipline, along with significant research experience (at least 2-3 years postdoctoral) and a record of…
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    • A postdoctoral fellowship is an extension of academic training received during the doctoral degree and is designed to support the transition toward an…
    • Effective immediately, a permanent full-time faculty position (Clinician Scientist or Clinician Investigator) is available in the Division of Nephrology,…
    • A postdoctoral research fellow position at the Hospital for Sick Children (SickKids) is available with start in spring 2025 the Knight Lab.
    • Researchers with interests in translational research on innovative nuclear medicine imaging technologies, including organ-targeted and hybrid approaches, as…
    • Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge Systems.
    • This could involve analysing and measuring how systems operate in practice, conducting research into their use and impact, co-designing and developing tools,…
    • The widespread authorizations of point-of-care (POC) diagnostic platforms have demonstratedtheir importance in resource-scarce settings and in streamlining…
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    • We're seeking a graduate student or postdoc in machine learning who’s eager to gain hands-on experience at a cutting-edge healthtech startup.
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Job Post Details

Research Scientist, Memory, Reasoning and Continual Learning, DeepMind - job post

DeepMind
Toronto, ON
$185,000–$191,000 a year - Full-time
You must create an Indeed account before continuing to the company website to apply

Job details

Pay

  • $185,000–$191,000 a year

Job type

  • Full-time

Location

Toronto, ON

Full job description

This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

If needed, use this French Canadian translation: "Google utilise des outils d'IA pour faciliter l'évaluation des candidats dans le cadre de nos processus de recrutement."

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.


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 offers 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 - $191000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • 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.
  • 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 engineering 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.
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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