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Added 8 mins ago
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Digital Product Designer [AQ-25101]
Aquent
Toronto, ON
- Contract
…revolutionizing how businesses manage their finances. As a **Digital Product Designer**, you will be at the forefront of innovation, driving the conceptualization, development, and…
Added 1 hour ago
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Chief Technology Officer
Aimhire
Toronto, ON
- Full-time
They’re looking for a hands-on, product-minded CTO to lead product and engineering and build an AI-native platform for the next phase of growth.
Added 1 hour ago
HT
Test Engineering Technologist - Process Packaging
Husky Technologies
Bolton, ON
- Full-time
To accelerate time-to-market with effective solutions that keep our customers in the lead, we leverage a powerful risk prioritized product development process. The Test Engineering…
Added 1 hour ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 1 hour ago
HT
Advanced Applications Blow Molding Specialist
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Bolton, ON
- Full-time
Ability to apply systematic engineering methodologies and data analysis techniques to identify meaningful technical solutions for Husky’s product offering
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HT
Test Engineering Technologist
Husky Technologies
Bolton, ON
- Full-time
To accelerate time-to-market with effective solutions that keep our customers in the lead, we leverage a powerful risk prioritized product development process.The Test Engineering…
Added 1 hour ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 1 hour ago
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Senior Engineering Manager - Stratus Imaging Archive
Optum
Richmond, BC
- Full-time
The Senior Engineering Manager will lead engineering teams building and evolving the Stratus Imaging Archive product and play a critical role in advancing our cloud-native Vendor Neutral…
Added 1 hour ago
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Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 1 hour ago
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Lead Product Designer
Scrambly
Canada
- Full-time
As a Lead Product Designer at Scrambly, you will fully own the product design function end-to-end and be responsible for the quality, consistency, and impact of the user experience across…
Added 1 hour ago
MP
Operating Engineer
Mother Parkers Tea & Coffee
Mississauga, ON
- Full-time
…foodservice chains, we use state-of-the-art technology and new product innovation to help our customers grow their business and deliver superior products to their clientele. Our team of…
Added 1 hour ago
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Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google DeepMind
Toronto, ON
- Full-time
PhD in Computer Science, Machine Learning, Mathematics, Cognitive Science, or a related technical field, or equivalent practical experience.
Added 1 hour ago
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Senior Software Engineer - Data and AI Platforms
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Vancouver, BC
- Full-time
…running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in…
Added 2 hours ago
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Solution Consultant Director, Partner channel
Omilia
Remote, Canada
- Remote
The Solution Consultant Director exists to lead and scale Omilia's pre-sales function within an assigned region or global segment, driving revenue growth through technical excellence and…
Added 2 hours ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google
Toronto, ON
PhD in Computer Science, Machine Learning, Mathematics, Cognitive Science, or a related technical field, or equivalent practical experience.
Added 2 hours ago
SP
Director, Finance Data Strategy & Stewardship
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Toronto, ON
- Full-time
As a member of the Controllership organisation, the Director of Finance Data Strategy & Stewardship will lead the end-to-end strategy, governance, and lifecycle management of Finance data…
Added 2 hours ago
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Solutions Architect, Salesforce Migrations (Data360, Revenue, Tableau, or Marketing Clouds)
Salesforce Partner Canada
Toronto, ON
- Full-time
This role sits at the intersection of customer relationship management and hands-on technical execution. You'll act as a trusted advisor who bridges a customer's legacy environment with…
Added 2 hours ago
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Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- Full-time
…delivery, we are seeking an experienced and dynamic AI Delivery Lead to act as the catalyst for our transformation. You will pioneer and orchestrate the AI Software Development Life Cycle…
Added 3 hours ago
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Director of Engineering
TAIRC
ON · Regional Municipality of York, ON
- Volunteer
Hire and retain talent: Lead recruitment of engineers, provide mentorship, and develop career pathways for technical staff.
Added 3 hours ago
RB
Lead Digital Product Owner
Royal Bank of Canada
Toronto, ON
- Full-time
Leads the development and refinement of digital product roadmaps, converting business requirements into actionable plans and ensuring continuous alignment with organizational objectives.
Added 3 hours ago
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Deburrer
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Kitchener, ON
- Full-time
As part of the Central Division you will lead P&L responsible for critical machining operations of major commercial aircraft programs such as the Boeing 777 and Embraer E-2, business jets…
Added 4 hours ago
VT
Java Full Stack Engineer - Artificial Intelligence
Viva Tech Solutions
Toronto, ON
- Contract
For Lead Engineers: Experience in solution architecture, technical design, code reviews, and guiding development teams.
Added 4 hours ago
SR
Chief Growth Officer
Swift Recruit
Vaughan, ON
- $250,000 to $275,000 CAD / year
- Full-time
Our client is an established product and platform engineering company headquartered in the Greater Toronto Area with approximately 1,000 engineering professionals across North America and…
Added 4 hours ago
Staff Systems Developer Manager, AlphaNet Core SRE
Google
Waterloo, ON
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the…
Added 4 hours ago
EI
Mechanical Design Team Lead
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Calgary, AB
- Full-time
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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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