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Added 3 mins ago
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Director Growth Marketing, North America
Caseware
Toronto, ON
- $160,000 to $180,000 CAD / year
- Full-time
…what the future of audits, financial reporting, and financial data analytics will look…
Added 3 mins ago
LC
Buyer - Sourcing, Hot House
Loblaw Companies Limited
Cambridge, ON
- Full-time
…inflation forecasting, commodity trends, competitive landscape analytics and global product…
Added 3 mins ago
LC
Merchant, Natural Foods (Super Market Division)
Loblaw Companies Limited
Brampton, ON
- Full-time
Use data and analytics to build strategic plans that best serve customers, and that achieve intended financial outcomes.
Added 3 mins ago
LC
Associate Product Manager, President's Choice & no name
Loblaw Companies Limited
Brampton, ON
- Full-time
…maintain customer satisfaction while unlocking value. You will lead collaborative efforts with various teams including vendors, product developers, quality assurance, and sourcing, to drive…
Added 3 mins ago
LC
Senior Analyst, Financial Systems
Loblaw Companies Limited
Brampton, ON
- Full-time
Lead and execute system and integration testing, validating functionality, financial accuracy, data integrity, and end-to-end business processes.
Added 18 mins ago
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Director, GTM Operations Analytics and Insights
Equinix
Toronto, ON
- Full-time
Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets.…
Added 18 mins ago
J
Senior Consultant, Business Strategy
Jackman
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Synthesize large sets of data and surface meaningful insights
Added 18 mins ago
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Senior Manager - Software Development
Tangerine
Toronto, ON
- Full-time
Champion the use of diverse technology, industry best practices and data analytics to continuously advance business capabilities
Added 18 mins ago
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Website Manager
OpTalent | Canada | Recruitment
Toronto, ON · Etobicoke, ON
- Full-time
Analytics & Business Insights: Lead website measurement and reporting, leveraging analytics, customer behavior, and conversion data to generate actionable insights and guide strategic…
Added 18 mins ago
IS
Lead Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
5-8 years of hands-on experience as a Data Engineer with strong expertise in SQL and Python for data processing, transformation, and analytics.
Added 18 mins ago
SC
Regional Business Development manager
Sysco Canada Inc.
Halifax, NS
- Full-time
…acquiring new business through strategic planning, advanced analytics, and effective contract negotiation. This role utilizes Sysco's Salesforce platform, employs a team-selling approach,…
Added 18 mins ago
IS
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
- Contract
Must have skills5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 18 mins ago
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Director of Customer Success
Jetson
North Vancouver, BC
- Full-time
We rely heavily on technology, automation, and data to scale this impact. At Jetson, we value people who are excellent at their craft, curious about new tools (including AI), and motivated…
Added 18 mins ago
RI
Enterprise Architect
Raas Infotek
Calgary, AB
- Contract
Lead SAP ECC to SAP S/4HANA transformation and application modernization initiatives.
Added 19 mins ago
Database & Geographic Information System (GIS) Geologist, Special Projects
Blue Moon Metals
Canada
Blue Moon Metals is seeking a Lead Database & Geographic Information System (GIS) Geologist to oversee geological databases, GIS systems, and digital data workflows supporting exploration…
Added 19 mins ago
M
IT Business Analyst
Manulife
Toronto, ON
- Full-time
The Risk Technology team at Manulife is seeking a seasoned data and analytics professional to help design and deliver innovative technology solutions that strengthen our Global Risk…
Added 19 mins ago
M
Project Manager, Group Benefits Operations
Manulife
Toronto, ON · Kitchener, ON · Waterloo, ON
- Full-time
Lead moderate-to-large Group Benefits Operations initiatives through intake, prioritization, planning, implementation, stabilization, and benefits realization.
Added 19 mins ago
PS
Advisor, Public Markets Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Public Markets Solutions partners with Public Markets investment teams to design, evolve and support scalable digital, data and analytical capabilities across the investment lifecycle.
Added 19 mins ago
CI
Developer in Test
Centah Inc
Remote, Canada
- Full-time
- Remote
…their home service programs. We specialize in enterprise-scale lead management software designed specifically for the home services industry, built to handle the complexity and volume that…
Added 19 mins ago
Director & Head, Global GTB Sales Execution and Business Management - Toronto
Scotiabank
Toronto, ON
Performance Management and Analytics: Establish and lead sales operating cadences, including pipeline reviews, scorecard reviews, regional and business-line reviews, quarterly business…
Added 19 mins ago
Senior Manager - Software Development
Scotiabank
Toronto, ON
Champion the use of diverse technology, industry best practices and data analytics to continuously advance business capabilities
Added 19 mins ago
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Infrastructure Architecture - Senior Professional I
Fiserv
Toronto, ON
- Full-time
· Lead and support MySQL database design and optimization to enable platform growth and scalability.
Added 19 mins ago
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Director Employee and Labour Relations
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
- Full-time
…and the Human Resources (HR) Leadership Team and is the LR lead for the ParaMed home care business for all aspects of labour and employee relations (LR/ER). Under the direction of the Vice…
Added 19 mins ago
S
Regional Business Development manager
Sysco
Moncton, NB · Halifax, NS · St. John's, NL · Sysco Halifax
- Full-time
…acquiring new business through strategic planning, advanced analytics, and effective contract negotiation. This role utilizes Sysco's Salesforce platform, employs a team-selling approach,…
Added 19 mins ago
Senior Manager, Finance
Bell
Toronto, ON
…a dynamic environment, and is passionate about transforming data into actionable recommendations that support the achievement of BBM's financial…

Google DeepMind

Research Developer, Frontier AI Incubation, DeepMind

Montreal, QC, Canada

Full-time

Apply About employer

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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