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Added 4 mins ago
IS
Senior Full stack Engineer - Node/Angular
Iris Software Inc.
Toronto, ON
- Contract
Title: Senior Full stack Engineer - Node/Angular
Added 4 mins ago
CP
Senior Engineering Manager
Canada Packers Inc.
Brandon, MB
- Full-time
As Senior Manager, Engineering, you will lead the engineering function at our Brandon facility and oversee a diverse portfolio of capital projects - from smaller site improvements to major…
Added 4 mins ago
PE
Manager, Client Experience (Experiential Marketing)
Proof Experiences
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…provide day-to-day account support to a variety of clients and senior team members as required in the execution of experiential learning campaigns. You will have the opportunity to oversee…
Added 4 mins ago
HH
Registered Ultrasound Technologist
Hamilton Health Sciences
Hamilton, ON
- Temporary
…quality of service for Ultrasound. Our UTs also liaise with the senior technologists and Radiologists to ensure the technical quality of procedures are performed at a high level. Staff work…
Added 5 mins ago
Sr Underwriter / Field Underwriter - Commercial Mid-Market, Northern Alberta
Wawanesa Insurance
AB · Calgary, AB · Edmonton, AB (Hybrid), AB
The Senior Underwriter / Field Underwriter, Commercial Mid-Market is responsible for building a profitable portfolio in Northern Alberta through strong underwriting, trusted broker…
Added 5 mins ago
JC
Payments Merchant Services - Relationship Manager - Senior Associate
JPMorgan Chase & Co.
Toronto, ON
- Full-time
As as Senior Relationship Manager you will be responsible for managing, expanding and retaining a portfolio of existing major relationships across multiple industries in Canada.
Added 5 mins ago
RJ
Senior Trust Advisor
Raymond James
Victoria, BC · Vancouver, BC
- Full-time
Working as a member of our Estate & Trust Solutions Team the Senior Trust Advisor (STA) will report to the regional AVP, Estate & Trust Solutions. The successful candidate will be engaged…
Added 5 mins ago
GN
Senior Manager, Tourism and Market Development
Groupe Nordik
Gatineau, QC
- Full-time
The Senior Manager, Tourism and Market Development is responsible for growing traffic and revenue across all of our markets, from our local radius to long-haul markets. Reporting to the…
Added 5 mins ago
Senior Advisor, International Relations
National Research Council Canada
Ottawa, ON
We are looking for a Senior Advisor, International Relations to support our Business and International Innovation (BII). The Senior Advisor will play a key role in building and nurturing…
Added 5 mins ago
Sr Service Specialist
The Canada Life Assurance Company
Toronto, ON
As a Senior Service Specialist, you will be responsible for managing assigned cases, which are generally complex in scope from a plan administration perspective. This position will also be…
Added 5 mins ago
Curator of Education and Visitor Experience (Historical Archival Cultural Officer 3)
The Government of Nova Scotia
Halifax, NS
The Curator of Education is a senior position responsible for providing strategic direction, vision, and management of the Maritime Museum of the Atlantic’s educational and experiential…
Added 5 mins ago
C
Unregulated Care Aide
Chartwell
St. Catharines, ON
- Full-time
Added 5 mins ago
Legal Counsel (Real Estate)
University of Toronto
Toronto, ON
Reporting to the Senior Legal Counsel (Construction) and working in the Real Estate Partnerships unit, the incumbent will provide legal advice, expertise, and a range of legal services on…
Added 20 mins ago
CB
Account Manager (Inside Sales)
Canadian Bearings
Mississauga, ON
- Full-time
Real Career Trajectory: Mentorship from progressive commercial leaders and pathways into Senior Account Management, Strategic Category Management, or Commercial Operations.
Added 20 mins ago
Senior Account Manager, LCS, Auto
Google
Toronto, ON
Added 20 mins ago
AC
Specialist, Fatigue Risk Management Program - Temporary
Air Canada
Toronto, ON
- Full-time
Added 20 mins ago
DC
Analytical Development Co-op
Danaher Corporation
Vancouver, BC · CAN - Vancouver - Cytiva
- Full-time
This position reports to the Senior Manager of Analytical Development (AD) and is part of the BioPharmaceutical Operations group located at the Nanomedicines Center in Vancouver, BC and…
Added 20 mins ago
EG
Systems Engineering Assurance Manager
Egis Group
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
The Systems Engineering Assurance Manager is a senior technical leadership role based in Toronto, Ontario, Canada, responsible for providing independent oversight and assurance of systems…
Added 20 mins ago
DC
Hardware Engineering Co-op
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
You will be a part of the Hardware Development team and report to a Senior Engineer that is responsible for New Product Development, Sustaining, and/or VAVE. If you thrive in a fast-paced…
Added 33 mins ago
NR
Manager Strategic Communications
Niagara Region
Thorold, ON
- $121,700 to $143,170 CAD / year
- Full-time
…ongoing relationship management for Commissioners, Directors and senior…
Added 33 mins ago
IG
Change Manager
Insight Global
Toronto, ON
- $68 to $70 CAD / hour
- Contract
- Experience influencing senior leaders in complex environments.
Added 33 mins ago
SR
Senior Automation Specialist
STRIVE Recruitment Inc.
Cambridge, ON
- $80,000 to $95,000 CAD / year
- Full-time
…and systems integration that is looking for an experienced Senior Automation Specialist to join its team in Cambridge,…
Added 33 mins ago
OI
Senior Oracle APEX Full-Stack Developer
OXARO Inc.
Ottawa, ON · Greater Ottawa Metropolitan Area
- Contract
Use software development and lifecycle tools such as Oracle SQL Developer, Azure DevOps, and Git to ensure quality, maintain version control, and support configuration management.
Added 33 mins ago
AW
Cloud Architect
Agilus Work Solutions
Toronto, ON
- $60 to $80 CAD / hour
- Contract
🚀 Hiring: Senior Business Intelligence Engineer / Cloud Architect
Added 34 mins ago
QP
Administrative Assistant - Real Estate Debt
QuadReal Property Group
Toronto, ON
- Full-time
Assist with coordination of internal and external calls/meetings (with multiple calendars and time zones) for Senior Level Executives and Team Members (including liaising with clients and…

Autodesk

Senior Machine Learning Developer, 3D Geometry & Multimodal AI

Montreal, QC, Canada

For Canada based roles, we expect a starting base salary between $123,000 and $180,400. · Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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 quality, robustness, reliability, and efficiency, and collaborate with researchers and developers to bring experimental ideas into production.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, engineering, or equivalent experience, along with at least five years of professional machine learning experience. Candidates should have experience across the ML lifecycle, proficiency with modern deep learning frameworks, knowledge of computational geometry and 2D/3D data, and experience with reproducibility and production deployment.

Skills

Machine Learning
Deep Learning
PyTorch
Hugging Face
Computational Geometry
3D Data
Multimodal AI
Generative AI
Data Pipelines
Model Training and Evaluation
MLOps
Model Deployment
Model Versioning
Reproducibility
Cloud Platforms
Large Language Models

Benefits

Annual Cash Bonuses
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
Inference
MLOps
Model Versioning
Model Deployment
Model Monitoring
Reproducibility
Ray
AWS
Azure
Google Cloud Platform
CAD
CAE
CAM

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