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Added 4 days ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 4 days ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
…production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using…
Added 4 days ago
JH
AI/ML Engineer
Java Holdings Ltd
AB · Edmonton, AB
- Full-time
…production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using…
Added 4 days ago
C
Senior Machine Learning Developer
Clera
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
Strong Python skills and software engineering fundamentals.
Added 5 days ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 5 days ago
GD
System Integration Verification & Validation
General Dynamics Missions System International
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 5 days ago
GD
System Integration Verification & Validation
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 5 days ago
S
Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 5 days ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Integrate GenAI solutions with REST APIs, backend services, and enterprise systems.
Added 5 days ago
C
Winter 2027 : AI Developer Co-op (8 months)
CGI
Toronto, ON
- Full-time
The AI Developer (Co-op) will contribute to the design, development, and deployment of AI-powered software solutions, with a strong focus on Generative AI, Agentic AI, LLM integration, and…
Added 5 days ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 5 days ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong…
Added 5 days ago
Z
Software Engineer, Backend (All Levels)
Zip
Toronto, ON
- Full-time
Experience with web application and API development in production environments. At Zip, our stack includes Python, Javascript, React, and GraphQL.
Added 5 days ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Stakeholder Engagement: Engage with business and technology stakeholders to understand data, analytics, AI, and cloud transformation requirements.
Added 5 days ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Experience with data warehouses, data lakes, lake house and modern cloud-based data platforms.
Added 5 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- $80 to $85 CAD / hour
- Contract
This opportunity is ideal for a hands-on developer with a strong combination of Artificial Intelligence expertise and core software engineering capabilities.
Added 5 days ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western…
Added 5 days ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
ES
Data Science Generative AI and Data Engineering
Enterprise Solutions Inc.
Toronto, ON
- Contract
Experience with Python, SQL, vector databases, embeddings, and AIML frameworks
Added 5 days ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
E
APPLIED AI SOFTWARE DESIGNER
Ericsson
Ottawa, ON
- Full-time
We are seeking an Applied AI Software Designer with 2–4 years of software engineering experience and hands-on experience applying AI to developer workflows. You will use Large Language…
Added 5 days ago
GD
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google DeepMind
Toronto, ON
- Full-time
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 5 days ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google
Toronto, ON
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 5 days ago
CC
RQ11828 - Software Developer - Intermediate
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

Google DeepMind

Research Scientist, Memory, Reasoning and Continual Learning, DeepMind

Toronto, ON, Canada

Full-time

Apply About employer

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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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