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Added 3 mins ago
Développeur principal SAP CPI / SAP Sr. CPI Developer
Syntax
Thornhill, ON
Added 3 mins ago
I(
Senior Aeronautical Structural Engineer
ITPS (Canada) LTD
London, ON
- Full-time
Reports To: Acting Head of Engineering/Structural Team Lead
Added 3 mins ago
T
Product Group Technology Lead II (Notify Now)
TD
London, ON · Toronto, ON
- Full-time
Provide thought leadership and/ or industry knowledge for quality engineering best practices and participate in knowledge transfer within the team and business unit; may take on the role of…
Added 3 mins ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
…mathematical models/techniques and tools, and utilizing software engineering best practices to develop and implement the…
Added 3 mins ago
T
Manager, Engineering – Easy Apply & Digital Onboarding Platform
TD
Toronto, ON
- Full-time
The Easy Apply Engineering team is seeking a Manager, Engineering to lead the delivery, modernization, and operational excellence of TD's enterprise digital onboarding platform. Easy Apply…
Added 3 mins ago
SL
Director, Domain Enterprise Architect, RPA and Intelligent Automation
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
· Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline. A master’s degree is preferred.
Added 14 mins ago
SG
Senior Solution Designer
SRA Group
NB · New Brunswick, Canada
- $85 to $90 CAD / hour
- Contract
Lead end-to-end solution design for enterprise data and analytics programs.
Added 16 mins ago
C
Automation Tester
CGI
Toronto, ON
- Full-time
We are seeking an experienced Selenium Automation Tester to support quality engineering initiatives within a Banking and Capital Markets environment.
Added 16 mins ago
OH
Journeyperson Powerline Technician
Oakville Hydro
Oakville, ON
- $40.48 to $53.97 CAD / hour
- Full-time
Assume Lead Powerline Technician responsibilities when required
Added 16 mins ago
N
Staff Optical Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
As a Staff Optical Design Verification Test (ODVT) Engineer, you will lead the comprehensive testing, validation, and performance characterization of the next generation of coherent…
Added 16 mins ago
WI
Senior Electrical Engineer - Mission Critical & Data Centers
WSP in Canada
Toronto, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 16 mins ago
C
Conseiller(ère) stratégique expert(e) en gouvernance, données et IA
CGI
Montreal, QC
- Full-time
Lead the prioritization of high-value AI and data use cases (personalization, segmentation, forecasting, monetization)
Added 16 mins ago
WI
Senior Electrical Engineer - Mission Critical & Data Centers
WSP in Canada
Ottawa, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 16 mins ago
MN
Senior Procurement Specialist
March Networks
Ottawa, ON
- Full-time
Provide advanced procurement support to the Hardware Engineering organization throughout the product development lifecycle, from concept through volume production, for the Taipei, Poland,…
Added 16 mins ago
MN
Senior Manager, S&OP
March Networks
Ottawa, ON
- Full-time
Architect, implement, and continuously improve the S&OP / IBP framework, calendar, and governance across Sales, Operations, Finance, Product, and Engineering
Added 18 mins ago
MN
Senior Manager, S&OP
March Networks
Remote, Canada
- Full-time
- Remote
Architect, implement, and continuously improve the S&OP / IBP framework, calendar, and governance across Sales, Operations, Finance, Product, and Engineering.
Added 18 mins ago
MN
Senior Procurement Specialist
March Networks
Remote, Canada
- Full-time
- Remote
Provide advanced procurement support to the Hardware Engineering organization throughout the product development lifecycle, from concept through volume production, for the Taipei, Poland,…
Added 18 mins ago
Electrician
INNIO
Welland, ON
…Production Testing team in Welland Ontario Canada, reporting to the Lead Production Test Engineer. In this role, you will lead the operation and troubleshooting of highly complex engine,…
Added 18 mins ago
General Manager
Aecon
Calgary, AB
Integrity. We lead by example, with humility and courage.
Added 32 mins ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
…production constantly, and you treat delivery friction as an engineering problem to solve, not a fact of life. You use AI-assisted development as a primary tool, with the majority of code…
Added 33 mins ago
Manager, Agent Development, Applied AI
Google
Toronto, ON · Waterloo, ON
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Added 33 mins ago
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Added 33 mins ago
E
Automation Specialist
Ecolab
Calgary, AB · CAN-Calgary Office Liquid Lab
- Full-time
…programming, and industrial control systems. Working closely with Engineering, Production, and Maintenance teams, the Automation Specialist supports both new equipment integration and…
Added 33 mins ago
E
Staff Eng, API Design & Governance
eBay
Toronto, ON
- Full-time
…who will design and build scalable, high-performance systems, lead complex technical initiatives, and influence engineering direction across multiple domains. A central focus of this role…
Added 33 mins ago
M
Software Engineer II, Core Edge Processing
Marqeta
Remote, Canada
- Full-time
- Remote
– Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.

Google DeepMind

Research Developer, Frontier AI Incubation, DeepMind

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

This posting is for an existing vacancy.

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

Minimum qualifications:

Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, or equivalent practical experience.
2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
2 years of experience programming in Python or C++.
1 year of experience taking technical projects or machine learning systems from conceptual formulation to implementation and deployment.

Preferred qualifications:

Experience developing, fine-tuning, or optimizing foundation models including techniques such as reinforcement learning from human/AI feedback, supervised fine-tuning, parameter-efficient tuning, or inference optimization.
Experience or interest in personalization, adaptive systems, user modeling, retrieval-augmented generation, or agentic memory architectures.
Experience with machine learning frameworks and large-scale model training or serving infrastructure.
Experience collaborating across research and product boundaries to co-design technical architectures.
Experience in scientific analysis, technical problem-solving, and technical communication.

About The Job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

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 .

Design, train, and optimize foundational algorithms and ML systems (e.g., personalized model adaptation, agentic workflows, contextual memory architectures, dynamic prompt optimization, and multimodal reasoning).
Lead end-to-end technical development from algorithmic design and experimental prototyping to production-grade architecture and scaled serving infrastructure.
Partner directly with Google development and product teams to integrate and harden our core technologies within production environments (e.g., Project Helix, agent workspaces, and intelligent system integrations).
Formulate novel automated and human-in-the-loop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization fidelity.

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

Design, train, and optimize foundational algorithms and machine learning systems, taking projects from experimental prototypes through production architecture and scaled serving. Collaborate with product and development teams to integrate technologies, and create evaluation methods to measure capability, efficiency, alignment, and personalization.

Requirements

A bachelor's degree in computer science, machine learning, mathematics, statistics, or equivalent practical experience is required, along with at least two years of relevant technical experience and two years programming in Python or C++. Candidates also need one year taking technical projects or machine learning systems from concept through implementation and deployment; experience with foundation models, personalization, large-scale infrastructure, and research-product collaboration is preferred.

Skills

Machine Learning
Algorithm Design
Python
C++
Foundation Models
Reinforcement Learning From Human or AI Feedback
Supervised Fine-Tuning
Parameter-Efficient Tuning
Inference Optimization
Personalization
Retrieval-Augmented Generation
Agentic Memory Architectures
Large-Scale Model Training
Model Serving Infrastructure
Evaluation Methodologies
Multimodal Reasoning

Benefits

Bonus
Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Algorithm Design
Data Structures
Distributed Software Systems
Python
C++
Foundation Models
Reinforcement Learning From Human or AI Feedback
Supervised Fine-Tuning
Parameter-Efficient Tuning
Inference Optimization
Personalization
Adaptive Systems
User Modeling
Retrieval-Augmented Generation
Agentic Memory Architectures
Large-Scale Model Training
Model Serving Infrastructure
Technical Architecture
Scientific Analysis
Experimental Prototyping
Production Deployment
Human-in-the-Loop Evaluation
Latency Optimization
Compute Efficiency
Alignment
Multimodal Reasoning
Dynamic Prompt Optimization
Agentic Workflows

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