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Added 3 mins ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety…
Added 3 mins ago
VH
Home Support Worker- Peel Region
VHA Home HealthCare
Mississauga, ON
- Part-time
Supports safe client care through the development of knowledge and skills in accordance with our principles of continuous quality improvement
Added 3 mins ago
GT
Scrum Master
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $55 to $60 CAD / hour
- Contract
We are looking for a very strong Scrum Master with proven experience and background in the industry. The candidate must have exceptional leadership skills to influence and lead the delivery…
Added 3 mins ago
OH
Manager, Payroll
Ontario Health atHome
ON · Ontario, Canada
- $101,626 to $121,346 CAD / year
- Full-time
We know wellness is supported with work-life balance. In an inclusive culture committed to support your passion for continuous learning, growth and innovation, we offer:
Added 3 mins ago
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Extreme Cleaner- Peel Region
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Professionnel en ingénierie de liaison MAP / Liaison Engineering MAP
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- Full-time
Do you have experience in aircraft design or repairs, have you worked in engineering and would you like to progress and develop new skills? Then this job is for you!
Added 3 mins ago
TR
Principal Engineer
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Toronto, ON
- Full-time
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions.…
Added 3 mins ago
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Director, Wealth Strategy & Research - 12-month contract - Tangerine
Tangerine
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Added 3 mins ago
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Senior Manager, Business Banking Advisory - Tangerine
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- Full-time
The Senior Manager, Business Advice and Client Growth will lead the development of Business Advice as a differentiated, value-added proposition for Tangerine Business clients. The role will…
Added 3 mins ago
SJ
Director - Finance, Data & Analytics
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- Full-time
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Added 3 mins ago
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Sommelier
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Joe Batt's Arm, NL
- $65,000 to $70,000 CAD / year
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Added 3 mins ago
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- $21.5 CAD / hour
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Added 3 mins ago
VH
Extreme Cleaner- Peel Region
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EVENTS COORDINATOR (BAND LEVEL 8)
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Take a lead role in the management and coordination of select conference clients to plan and execute a conference as the "Conference Planner."
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Added 4 mins ago
Director, Strategic Asset Allocation
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Added 4 mins ago
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Added 4 mins ago
BC
Senior Data Engineer (Databricks Focused)
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Added 4 mins ago
VH
Home Support Worker- Peel Region
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Brampton, ON
- Part-time
Supports safe client care through the development of knowledge and skills in accordance with our principles of continuous quality improvement
Added 4 mins ago
VH
Extreme Cleaner- Peel Region
VHA Home HealthCare
Brampton, ON
- Part-time
Participates in team meetings as requested, with a commitment to contribution and service development.
Added 4 mins ago
A
Flight Control System Certification Specialist / Spécialiste de Certification des Systèmes de Commandes de Vol
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- Full-time
Added 4 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Montreal, QC
- Full-time
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

Google DeepMind

Research Scientist, Memory, Reasoning and Continual Learning, DeepMind

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: 2 years of experience in artificial intelligence research, including publications in conferences or journals (e.g., NeurIPS, ICML, ICLR).
Posting language: English
Posted: Nov 3, 2026

Original job description

This posting is for a new vacancy.

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.

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 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.
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.

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 .

Apply About employer

More about this job

Responsibilities

Lead research on memory, reasoning, and continual learning, including long-context attention, retrieval-augmented generation, continual-learning architectures, and multi-step reasoning. Design experiments and benchmarks, improve training and memory infrastructure, investigate model failures, and communicate findings through research publications and clear technical materials.

Requirements

A PhD in computer science, machine learning, mathematics, cognitive science, or a related technical field - or equivalent practical experience - is required, along with at least two years of AI research experience and conference or journal publications. Candidates should have experience with deep learning, reinforcement learning, natural language processing, or continual-learning architectures, as well as Python, a deep-learning framework, algorithm design, experimentation, and results analysis.

Skills

Artificial Intelligence Research
Machine Learning
Deep Learning
Reinforcement Learning
Natural Language Processing
Continual Learning
Python
JAX
TensorFlow
PyTorch
Algorithm Design
Experimental Design
Large Language Models
Autonomous Agents
Long-Context Memory Systems
Computational Neuroscience

Benefits

Bonus
Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Deep Learning
Reinforcement Learning
Natural Language Processing
Continual Learning
Python
JAX
TensorFlow
PyTorch
Large Language Models
Autonomous Agents
Long-Context Memory
Long-Context Attention
Retrieval-Augmented Generation
Multi-Step Reasoning
Computational Neuroscience
Algorithm Design
Experimental Design
Benchmark Design
Evaluation Frameworks
Out-of-Distribution Generalization
Complex Planning
Catastrophic Forgetting
Sample Efficiency
Distributed Training
Continuous Training Pipelines
High-Capacity Context Windows
Open-Source Software
Research Publications

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