Find work in Canada.

330,925 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 14 mins ago
Senior HR Data Governance Lead (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking an experienced people manager to join our team as a Senior Data Governance Lead, to lead the global function that sets the standards, ownership model, and controls that ensure…
Added 14 mins ago
Director - YourHealthNS
Nova Scotia Health Authority
NS · Nova Scotia, Canada
Full-time
Reporting to the Senior Director, Strategic Digital Initiatives, the Director of YourHealthNS provides strategic leadership and advice on business and technology solutions within assigned…
Added 14 mins ago
Senior Risk Manager
Turner & Townsend
Calgary, AB
Full-time
As Senior Risk Lead, you will be involved in:
Added 14 mins ago
Product Development and Industrialization Lead
Global Traffic Group Ltd.
AB · Edmonton, AB
Full-time
We are seeking a senior-level product development and manufacturing professional who can take our AI-enabled electronic and electromechanical products from working prototypes and small…
Added 14 mins ago
Senior Auditor
Altis
Montreal, QC
$75,000 to $85,000 CAD / year
Full-time
Added 14 mins ago
Director of Operations
Hays
Burnaby, BC
$250,000 to $285,000 CAD / year
Full-time
The recommendation of strategic direction and budget to Senior Management and Corporate Management Groups.
Added 15 mins ago
Counsel, Intellectual Property
WSP
Montreal, QC
You will gain early exposure to senior business leaders and to the files that shape how
Added 15 mins ago
Project Manager I - Engineering, Construction, and Transportation Management (ECTM)
Halton Region
Oakville, ON
Reporting to the Senior Project Advisor, Engineering, Construction and Transportation Management (ECTM), the Project Manager I is responsible for planning, coordination, and delivery of…
Added 15 mins ago
Software Analyst
Hitachi
Toronto, ON · (RSBU) Toronto
Full-time
…the railway signaling domain. Working under the guidance of a Senior Software Analyst or Technical Specialist, the incumbent develops expertise in one or more subsystem functional areas and…
Added 15 mins ago
Software Analyst
Hitachi
Toronto, ON · (RSBU) Toronto
Full-time
…the railway signaling domain. Working under the guidance of a Senior Software Analyst or Technical Specialist, the incumbent develops expertise in one or more subsystem functional areas and…
Added 15 mins ago
Manager, Global Compliance and AML Strategic Support
Scotiabank
Toronto, ON
…decision-making and business objectives. The incumbent works closely with senior leaders and cross-functional stakeholders to advance strategic priorities while ensuring alignment with…
Added 15 mins ago
Senior Financial Advisor - Renforth & Rathburn, Toronto, ON
Scotiabank
Toronto, ON
Added 15 mins ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
The Director, DataOps is a senior technology leadership role accountable for the operational excellence, reliability, security, scalability, and cost efficiency of the Azure Databricks…
Added 15 mins ago
Senior Financial Analyst
Government of Alberta
AB
Reporting to the Manager, Financial Operations & Assurance, the Senior Financial Analyst, Reporting, Compliance & Systems provides leadership and expertise in financial reporting,…
Added 15 mins ago
RQ11603 - Privacy Impact Assessment (PIA) Specialist - Senior
Maarut
Toronto, ON
Contract
Added 15 mins ago
RQ11310 - Solutions Designer - Senior
Maarut
Toronto, ON
Contract
Added 15 mins ago
Director - YourHealthNS
Nova Scotia Health and IWK Health
Bedford, NS
Reporting to the Senior Director, Strategic Digital Initiatives, the Director of YourHealthNS provides strategic leadership and advice on business and technology solutions within assigned…
Added 15 mins ago
Risk Management & Insurance Consultant
Co-operators
Burlington, ON
Full-time
Deliver presentations to senior management or Board regarding risk assessment and insurance related issues.
Added 29 mins ago
Chief Information Security Officer
University of Alberta
AB · Edmonton, AB
Full-time
Provide senior leadership and expertise in the development of information technology policies and procedures;
Added 29 mins ago
Account Executive (Technology Solutions)
Affinity
Vancouver, BC
Full-time
Experience leading discovery and scoping conversations with senior stakeholders.
Added 29 mins ago
Project Manager, Sales Enablement & Executive Customer Engagement
Husky Technologies
Bolton, ON
Full-time
…Husky delivers clear, compelling, and consistent narratives to senior customer audiences while enabling the sales organization with scalable, high-impact materials aligned to strategic…
Added 29 mins ago
Senior Philanthropy Officer
Glenrose Hospital Foundation
AB · Edmonton, AB
Full-time
We’re looking for a Senior Philanthropy Officer who is passionate about building meaningful relationships, connecting people to purpose and helping donors see the impact their generosity…
Added 29 mins ago
Senior Director, Corporate compensation and programs delivery
WSP in Canada
Toronto, ON
Full-time
As Senior Director, Corporate Compensation & Programs Delivery, you will have the opportunity to join WSP at an exciting moment of growth and global transformation. Our Global Total Rewards…
Added 29 mins ago
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 29 mins ago
METS Principal Information Security Engineer - ITS5
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
Full-time
The Principal Information Security Engineer (PISE) is a senior cybersecurity leader responsible for planning, designing, implementing, and maintaining enterprise-wide information security…

Autodesk

Senior Machine Learning Developer, 3D Geometry & Multimodal AI

Montreal, QC, Canada

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English · French
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and developers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Read the full bilingual original

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and developers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

26WD99904, Développeur en apprentissage automatique : géométrie 3D et IA multimodale

Aperçu du Poste

Nous recherchons un développeur senior en apprentissage automatique chargé de concevoir, développer et déployer des solutions d’apprentissage automatique pour les fonctionnalités de nouvelle génération basées sur l’IA au sein des produits Autodesk. Le candidat idéal possède une expertise couvrant l’ensemble du cycle de vie de l’apprentissage automatique, notamment la recherche, l’expérimentation, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production.

Vous travaillerez en étroite collaboration avec des chercheurs et des développeurs afin de mettre au point des solutions d’IA innovantes impliquant la géométrie 3D, l’IA multimodale et l’IA générative, contribuant ainsi à transformer la recherche en fonctionnalités produit prêtes à être mises en production. Vous aimez résoudre des problèmes techniques complexes, explorer de nouvelles idées et collaborer avec différentes équipes pour fournir des solutions d’apprentissage automatique évolutives et de haute qualité.

Responsabilités

Concevoir, développer et optimiser des modèles d’apprentissage automatique pour des fonctionnalités de produits basées sur l’IA impliquant la géométrie 3D, l’IA multimodale et l’IA générative
Construire et maintenir des pipelines de données et des workflows d’apprentissage automatique évolutifs pour la préparation des données, l’entraînement des modèles, l’évaluation et l’inférence
Travailler avec des ensembles de données et des représentations complexes pour l’entraînement, l’évaluation et l’analyse des modèles
Concevoir et mettre en œuvre des méthodologies d’évaluation, des tests de performance et des expériences pour mesurer les performances, la robustesse et la qualité des modèles
Collaborer avec des chercheurs et des développeurs pour transformer des idées expérimentales en fonctionnalités de produit évolutives et prêtes pour la production
Mettre en place et maintenir des workflows MLOps prenant en charge la gestion des versions, le déploiement, la surveillance et l’amélioration continue des modèles
Analyser les performances des modèles, identifier les modes de défaillance et mettre en œuvre des améliorations pour renforcer la précision, la fiabilité et l’efficacité des modèles
Documenter et présenter les conceptions techniques, les résultats expérimentaux et les conclusions aux collaborateurs et à la direction

Qualifications Minimales

Licence ou master en informatique, apprentissage automatique, ingénierie, ou expérience professionnelle équivalente
Au moins 5 ans d’expérience professionnelle dans le développement de solutions d’apprentissage automatique
Expérience couvrant l’ensemble du cycle de vie de l’apprentissage automatique, y compris la recherche, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production
Expérience de travail dans des environnements de recherche ou expérimentaux aux exigences en constante évolution
Maîtrise des frameworks modernes d’apprentissage profond (par exemple, PyTorch, Hugging Face)
Expérience en géométrie computationnelle et en données 3D (par exemple, maillages, modèles B-Rep)
Expérience de travail avec des représentations de données complexes, y compris la géométrie 2D et 3D
Expérience en gestion de versions, en reproductibilité et en déploiement de modèles d’apprentissage automatique
Expérience pratique de l’utilisation d’outils modernes d’IA/IA générative pour améliorer le développement logiciel, l’expérimentation ou les workflows d’apprentissage automatique
Excellentes compétences en communication écrite et orale

Qualifications Souhaitées

Diplôme de niveau master ou doctorat (MSc/PhD) en apprentissage automatique, en informatique ou dans un domaine connexe
Expérience avec les grands modèles de langage (LLM) ou les systèmes d’IA générative (par exemple : réglage fin, formulation de prompts, évaluation ou workflows agentiques)
Expérience dans la mise à l’échelle de l’entraînement en apprentissage automatique et des pipelines de données (par exemple, à l’aide de Ray ou de frameworks similaires)
Expérience des plateformes et services cloud (par exemple, AWS, Azure, Google Cloud Platform)
Connaissance des secteurs de la conception, de la fabrication, de l’architecture, de l’ingénierie et de la construction (AEC), ou des médias et du divertissement
Expérience avec Autodesk ou des produits similaires (par exemple, CAO, IAO, FAO)

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize machine learning models and scalable data and MLOps workflows for product capabilities involving 3D geometry, multimodal AI, and generative AI. Evaluate and improve model performance, and collaborate with researchers and developers to turn experimental ideas into production-ready features.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, engineering, or equivalent experience, plus at least five years developing machine learning solutions across the full lifecycle. Candidates should have experience with deep learning frameworks, computational geometry and 2D/3D data, model deployment and reproducibility, and modern AI tools; experience with LLMs, scalable pipelines, cloud platforms, or Autodesk-related industries is preferred.

Skills

Machine Learning
Deep Learning
PyTorch
Hugging Face
Computational Geometry
3D Geometry
Multimodal AI
Generative AI
Data Pipelines
Model Training
Model Evaluation
MLOps
Model Deployment
Version Control
Reproducibility
Cloud Platforms

Benefits

Annual Cash Bonuses
Sales Commissions
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
PyTorch
Hugging Face
Computational Geometry
3D Geometry
Meshes
B-Rep Models
Multimodal AI
Generative AI
Large Language Models
Fine-Tuning
Prompting
Agentic Workflows
Data Pipelines
Model Training
Model Evaluation
MLOps
Model Versioning
Model Deployment
Model Monitoring
Reproducibility
Ray
AWS
Azure
Google Cloud Platform
CAD
CAE
CAM
AEC

Report this job