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Added 6 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 6 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 6 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 7 days ago
CC
RQ11828 - Software Developer - Intermediate
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
REQUIREMENTS-Must Have:
Added 7 days ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions…
Added 7 days ago
Q
FY27 Intern - Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This…
Added 7 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.
Added 7 days ago
Q
FY27 Intern - Qualcomm SoC Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Familiarity with one or more programming or hardware languages such as Verilog, SystemVerilog, C, C++, Python
Added 7 days ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Remain hands-on with Python while owning key architecture decisions
Added 7 days ago
Senior Data Scientist
Conviva
Toronto, ON
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 7 days ago
AI/ML Engineer
Conviva
Toronto, ON
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 7 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
C
Senior Data Scientist
Conviva
Toronto, ON
- Full-time
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 7 days ago
Technology Lead
Infosys
ON
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
Technology Analyst
Infosys
ON
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 7 days ago
Sr. Software Engineer, Systems Framework & Infrastructure
Tenstorrent
Toronto, ON
A strong programmer in C, C++, and Python with fluency in Git for source code management using rebase and feature-branch workflows.
Added 7 days ago
VI
AWS DevOps & Cloud Security Engineer
Vielight Inc.
Toronto, ON
- Full-time
Backend Infrastructure: Support the deployment and operation of Python-based backend services, REST APIs, PostgreSQL databases, and asynchronous processing pipelines (Celery/RabbitMQ).
Added 7 days ago
WT
Python Backend Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for an experienced Python Backend Developer with strong expertise in Python fundamentals, FastAPI, asynchronous programming, and backend system design. The ideal candidate…
Added 7 days ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
…Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and…
Added 7 days ago
A
Senior Full Stack Engineer
arcadia
Toronto, ON · Greater Toronto Area, Canada
- $200,000 to $250,000 CAD / year
- Full-time
Fluency in Python and TypeScript/JavaScript, with experience in React and PostgreSQL
Added 7 days ago
P
Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Contract
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Added 7 days ago
P
Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Full-time
- Contract
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Added 7 days ago
H
Data Engineer
Hays
Montreal, QC
- Contract
Strong hands-on development experience with Python.

Google DeepMind

Research Scientist, Memory, Reasoning and Continual Learning, DeepMind

Toronto, ON, Canada

Full-time

Apply on LinkedIn 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 .

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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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Jobs in Canada