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Added 15 mins ago
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Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Scripting skills in Python, PowerShell, and Bash.
Added 15 mins ago
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Enterprise Cloud & Platform Engineer
Numeris
Toronto, ON
- Full-time
Develop scripts using PowerShell, Python, and Bash.
Added 15 mins ago
AC
AI Developer – Actuarial Tools & Automation (PathWise)
Aon Corporation
Toronto, ON
- Full-time
As an AI Developer – Actuarial Tools & Automation (PathWise) within Aon Life Solutions, you will help design, develop, and deliver innovative Generative AI solutions that support actuarial…
Added 15 mins ago
DG
Senior Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
· Work with the lead developer to shape the technical roadmap and identify technical debt worth paying down.
Added 15 mins ago
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Principal Optical Engineer
Nokia
Ottawa, ON
- Full-time
Experience in Python coding and object-oriented programming for lab automation, calibration, and data analysis.
Added 15 mins ago
IN
Senior Hydrogeologist/Groundwater Modeler (CAN)
ITASCA North America
Remote, Canada
- $145,000 to $180,000 CAD / year
- Full-time
- Remote
Programming or scripting experience using Python, R, VBA, or similar tools.
Added 15 mins ago
M
Stagiaire développeur(se) en distribution pharmaceutique - Developper Pharmaceutical Distirbution - Winter Intern
McKesson
Montreal, QC
- Full-time
Posséder une compréhension de base des principes de développement logiciel et des langages de programmation (ex. : Java, Python, C#).
Added 29 mins ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 29 mins ago
AS
Site Reliability Engineer
Ardent SoftSol Inc.
Calgary, AB
- Contract
Added 29 mins ago
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Site Reliability Engineer
VySystems
Calgary, AB
- Full-time
We are seeking an experienced application developer or core application support professional to improve the reliability, performance, and supportability of core software applications. This…
Added 31 mins ago
C
Software Engineer, Vice President
Citi
Mississauga, ON
- Full-time
Learn about Python, its ecosystem, community and best practices
Added 31 mins ago
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Software Developer Coop
CAE
Montreal, QC
- Full-time
As an intern within the Developer Platform team, you may contribute to different types of initiatives related to agentic AI, automation, development platforms, and the improvement of…
Added 31 mins ago
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Stagiaire - Intelligence artificielle
CAE
Montreal, QC
- Full-time
- Maîtrise des langages de programmation tels que Python, Java ou C++.
Added 44 mins ago
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Senior AI Engineer
Perceptic
Engineer, BC
- Full-time
Our stack is React and TypeScript on the front end, Java and Python services behind it, and an agent layer built on durable, fault-tolerant workflows that reason over scientific data…
Added 44 mins ago
NG
Artificial Intelligence Management Consultant
NCS Group
Toronto, ON
- Full-time
Hands-on exposure to Python, analytics, automation, AI development, or low-code/no-code tools
Added 44 mins ago
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Stagiaire - Intelligence artificielle-EN
CAE
Montreal, QC
- Full-time
Maîtrise des langages de programmation tels que Python, Java ou C++.
Added 44 mins ago
QW
DB2 Developer
Quantum World Technologies Inc.
Montreal, QC
- Contract
Hands-on Python scripting/programming experience.
Added 44 mins ago
II
VP, Quantitative Research (Public Affairs/Online Communities)
Ipsos in US
Toronto, ON
- Full-time
Added 44 mins ago
II
VP, Quantitative Research (Public Affairs/Online Communities)
Ipsos in US
Vancouver, BC
- Full-time
Added 44 mins ago
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SRE Engineer
Yochana
Calgary, AB
- Full-time
Added 44 mins ago
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Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Proficiency in C#, Java, Python, and experience with .NET components
Added 44 mins ago
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Stagiaire - Spécialiste de données-EN
CAE
Montreal, QC
- Full-time
Expérience de travail avec les données, le codage et la création de scripts (Python/Java/Scala/SQL/JS/Bash), et avec les services cloud Microsoft : Azure, Databrick, etc. est un atout.
Added 44 mins ago
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Full Stack Engineer
KTek Resourcing
Canada
- Full-time
Added 44 mins ago
AI
Senior DevOps Developer-Analyst
Avanciers Inc.
Levis, QC · Saint-Lambert-de-Lévis, QC
- $80 to $85 CAD / hour
- Contract
Avanciers Incorporated is hiring a Senior DevOps Developer-Analyst for one of our clients.
Added 44 mins ago
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Manager, Agent Development, Applied AI
Google
Toronto, ON
- Full-time
Experience in Python or similar coding languages.

Google DeepMind

Research Developer, Frontier AI Incubation, DeepMind

Montreal, QC, Canada

Full-time

Apply About employer

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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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