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Added 1 month ago
KI
Workday Extend Consultant/Architect
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Canada
- Full-time
…speed. We don’t just "configure" Workday - we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom…
Added 1 month ago
FB
Loan Consultant
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- Full-time
Join Fairstone as a Loan Consultant and be part of our talented and growing team!
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Loan Consultant
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- Full-time
Join Fairstone as a Loan Consultant and be part of our talented and growing team!
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Loan Consultant
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- Full-time
Join Fairstone as a Loan Consultant and be part of our talented and growing team!
Added 1 month ago
E
Principal Technical Consultant, Geologist (Casual)
ERM
Toronto, ON
- $54.66 to $66.25 CAD / hour
- Part-time
…geological, and resource challenges. As a Principal Technical Consultant, Geologist (Casual) based preferably in Toronto or Vancouver, you will serve as a senior technical leader,…
Added 1 month ago
E
Principal Technical Consultant, Geologist (Casual)
ERM
Vancouver, BC
- $54.66 to $66.25 CAD / hour
- Part-time
…geological, and resource challenges. As a Principal Technical Consultant, Geologist (Casual) based preferably in Toronto or Vancouver, you will serve as a senior technical leader,…
Added 1 month ago
E
Principal Technical Consultant, Geologist (Casual)
ERM
Calgary, AB
- $54.66 to $66.25 CAD / hour
- Part-time
…geological, and resource challenges. As a Principal Technical Consultant, Geologist (Casual) based preferably in Toronto or Vancouver, you will serve as a senior technical leader,…
Added 1 month ago
D
Cloud, Automation & AI Engineer Consultant
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Toronto, ON
- Full-time
…automation, DevOps practices, platform engineering, cybersecurity, application modernization, data platforms, and emerging AI infrastructure technologies. You will have the opportunity to…
Added 1 month ago
E
Principal Technical Consultant, Geologist (Casual)
ERM
Calgary, AB · Vancouver, BC · Toronto, ON
- $54.66 to $66.25 CAD / hour
- Part-time
…geological, and resource challenges. As a Principal Technical Consultant, Geologist (Casual) based preferably in Toronto or Vancouver, you will serve as a senior technical leader,…
Added 1 month ago
M
SMB Regional Sales Consultant-Scarborough
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Toronto, ON
- Full-time
…This role is a merchant facing role and will require the Sales Consultant to spend multiple days throughout the week at assigned BMO/RBC bank locations to build relations with the bankers,…
Added 1 month ago
GT
Occupational Health and Safety Manager
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- Full-time
…identification, workplace inspections, incident investigations, program development, regulatory reporting, and continuous improvement initiatives aimed at reducing organizational risk and…
Added 1 month ago
DM
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- Full-time
- Remote
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Added 1 month ago
Lead Consultant, Gen AI
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The Lead Consultant will play a pivotal role in delivering client engagements focused on AI Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering /…
Added 1 month ago
A
Software Developer, Pipeline Integration
Autodesk
Toronto, ON · Montreal, QC · Vancouver, BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Optional: A reel or a link to your portfolio to showcase your work in industry can also be submitted during application.
Added 1 month ago
A
Machine Learning Developer
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Familiarity with media pipelines and practical application of data modeling
Added 1 month ago
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Added 1 month ago
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Added 1 month ago
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Added 1 month ago
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Underwriting Consultant
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- Full-time
As an Underwriting Consultant, you’ll be joining one of Canada’s top insurers. We’re known for not only our strength in the market, but our commitment to our people. Underwriting goes…

Autodesk

Machine Learning Developer

Toronto, ON, Canada
Montreal, QC, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $110,000 and $160,600. · Full-time

Apply About employer

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Job details

Pay: For Canada based roles, we expect a starting base salary between $110,000 and $160,600.
Job type: Full-time
Posting language: English · French
Posted: Sep 14, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD100628

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

26WD100628, Machine Learning Developer

Position Overview

Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk's Emerging Media and Entertainment Technology division is seeking a Machine Learning (ML) Developer to work on innovative projects that help our customers imagine, design, and make a better world. This role is ideal for individuals proficient in applying ML methodologies and tools to a wide range of data and use cases.

Our team is globally based, with key locations in Toronto, Montreal, San Francisco and Vancouver.

Responsibilities

Review state-of the-art media-focused, and especially motion-focused ML publications and technologies
Assess capabilities for feasibility and generalizability, and report to project and program leads
Implement cutting edge ML results, improve existing models Stay current with new ML models and AI techniques
Develop new specific as well as generalized large models for motion prediction under various modalities
Develop end-to-end workflows, leveraging new data-driven techniques and evolving motion editing technologies
Work collaboratively on research projects within a globally-based team
Support research through building experimental pipelines and prototypes
Handle data processing and preparation at scale
Conduct model training and hyperparameter tuning
Analyze model errors and design strategies for mitigation
Leverage cutting edge coding tools for high velocity. Maintain high standards of engineering, scalable implementations for shared code repos

Minimum Qualifications

MS, or PhD in a field related to AI/ML such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
Proficiency in Deep Learning techniques (Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.)
Deep background in statistical methods for Machine Learning (Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
Experience with multiple assisted coding environments
Strategies for best practices for high-velocity and scalable assisted code generation
Computational time-series data analytics and prediction regimes
Proficiency with scalable compute, bandwidth and storage infrastructure and associated orchestration layer
Proficiency with Python, TensorFlow, PyTorch, and other standard deep learning frameworks
Profound understanding of fundamental CS algorithms and their scaling behaviors
Practical experience in applying machine learning algorithms and libraries to business problems

Preferred Qualifications

Experience in production environments and creative workflows in the entertainment or adjacent industries
Proven collaboration with creatives and producers
Familiarity with media pipelines and practical application of data modeling

The Ideal Candidate

Ability to decompose large problems into manageable components and develop clear solutions
Proactive and self-motivated attitude towards problem solving
Excellent documentation skills for code and software architecture
Self-motivation and the ability to find solutions and execute problems with minimal supervision
Comfort with ambiguity and the ability to learn and adapt in newly forming areas
Outstanding visual and verbal communication skills
A passion for entertainment and skills in the use of creative software
Highly effective interpersonal skills and a growth mindset

------------------------------------------------------------------------------------------------------------------------

26WD100628, Développeur en apprentissage automatique

Aperçu du Poste

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 $110,000 and $160,600. 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.

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 #

26WD100628

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

26WD100628, Machine Learning Developer

Position Overview

Our team is globally based, with key locations in Toronto, Montreal, San Francisco and Vancouver.

Responsibilities

Review state-of the-art media-focused, and especially motion-focused ML publications and technologies
Assess capabilities for feasibility and generalizability, and report to project and program leads
Implement cutting edge ML results, improve existing models Stay current with new ML models and AI techniques
Develop new specific as well as generalized large models for motion prediction under various modalities
Develop end-to-end workflows, leveraging new data-driven techniques and evolving motion editing technologies
Work collaboratively on research projects within a globally-based team
Support research through building experimental pipelines and prototypes
Handle data processing and preparation at scale
Conduct model training and hyperparameter tuning
Analyze model errors and design strategies for mitigation
Leverage cutting edge coding tools for high velocity. Maintain high standards of engineering, scalable implementations for shared code repos

Minimum Qualifications

MS, or PhD in a field related to AI/ML such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
Proficiency in Deep Learning techniques (Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.)
Deep background in statistical methods for Machine Learning (Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
Experience with multiple assisted coding environments
Strategies for best practices for high-velocity and scalable assisted code generation
Computational time-series data analytics and prediction regimes
Proficiency with scalable compute, bandwidth and storage infrastructure and associated orchestration layer
Proficiency with Python, TensorFlow, PyTorch, and other standard deep learning frameworks
Profound understanding of fundamental CS algorithms and their scaling behaviors
Practical experience in applying machine learning algorithms and libraries to business problems

Preferred Qualifications

Experience in production environments and creative workflows in the entertainment or adjacent industries
Proven collaboration with creatives and producers
Familiarity with media pipelines and practical application of data modeling

The Ideal Candidate

Ability to decompose large problems into manageable components and develop clear solutions
Proactive and self-motivated attitude towards problem solving
Excellent documentation skills for code and software architecture
Self-motivation and the ability to find solutions and execute problems with minimal supervision
Comfort with ambiguity and the ability to learn and adapt in newly forming areas
Outstanding visual and verbal communication skills
A passion for entertainment and skills in the use of creative software
Highly effective interpersonal skills and a growth mindset

------------------------------------------------------------------------------------------------------------------------

26WD100628, Développeur en apprentissage automatique

Aperçu du Poste

Autodesk développe des logiciels destinés à ceux qui créent. Si vous avez déjà conduit une voiture haute performance, admiré un gratte-ciel imposant, utilisé un smartphone ou regardé de grands films de science-fiction, il y a de fortes chances que vous ayez déjà fait l’expérience de ce que des millions de clients d’Autodesk réalisent grâce à nos logiciels.La division « Emerging Media and Entertainment Technology » d’Autodesk recherche un développeur en apprentissage automatique (ML) pour travailler sur des projets innovants qui aident nos clients à imaginer, concevoir et créer un monde meilleur. Ce poste est idéal pour les personnes maîtrisant l’application des méthodologies et des outils d’apprentissage automatique à un large éventail de données et de cas d’utilisation.

Notre équipe est répartie dans le monde entier, avec des sites clés à Toronto, Montréal, San Francisco et Vancouver.

Responsabilités

Passer en revue les publications et technologies de pointe en ML axées sur les médias, et en particulier sur le mouvement
Évaluer la faisabilité et la généralisation des capacités, et rendre compte aux responsables de projet et de programme
Mettre en œuvre les résultats de pointe en ML, améliorer les modèles existants Se tenir au courant des nouveaux modèles de ML et des techniques d’IA
Développer de nouveaux modèles à grande échelle, tant spécifiques que généralisés, pour la prédiction de mouvement dans diverses modalités
Développer des workflows de bout en bout, en tirant parti des nouvelles techniques basées sur les données et des technologies d’édition de mouvement en constante évolution
Travailler en collaboration sur des projets de recherche au sein d’une équipe internationale
Soutenir la recherche en créant des pipelines expérimentaux et des prototypes
Gérer le traitement et la préparation des données à grande échelle
Réaliser l’entraînement des modèles et le réglage des hyperparamètres
Analyser les erreurs des modèles et concevoir des stratégies pour les atténuer
Exploiter des outils de codage de pointe pour une exécution rapide. Maintenir des normes d’ingénierie élevées et des implémentations évolutives pour les dépôts de code partagés

Qualifications Minimales

Master ou doctorat dans un domaine lié à l’IA/l’apprentissage automatique (IA/ML), tel que l’informatique, les mathématiques, les statistiques, la physique ou une discipline apparentée
Maîtrise des techniques d’apprentissage profond (architectures de réseaux, techniques de régularisation, techniques d’apprentissage, fonctions de perte, stratégies d’optimisation, etc.)
Connaissances approfondies des méthodes statistiques pour l’apprentissage automatique (méthodes bayésiennes, HMM, modèles graphiques, réduction de dimension, regroupement, classification, techniques de régression, etc.)
Expérience avec plusieurs environnements de codage assisté
Maîtrise des meilleures pratiques pour une génération de code assistée à haute vélocité et évolutive
Analyse computationnelle de séries chronologiques et régimes de prédiction
Maîtrise des infrastructures évolutives de calcul, de bande passante et de stockage, ainsi que de la couche d’orchestration associée
Maîtrise de Python, TensorFlow, PyTorch et d’autres frameworks standard d’apprentissage profond
Compréhension approfondie des algorithmes fondamentaux de l’informatique et de leur comportement à grande échelle
Expérience pratique dans l’application d’algorithmes et de bibliothèques d’apprentissage automatique à des problèmes métier

Qualifications Souhaitées

Expérience dans des environnements de production et des flux de travail créatifs dans le secteur du divertissement ou des secteurs connexes
Collaboration avérée avec des créatifs et des producteurs
Connaissance des pipelines multimédias et de l’application pratique de la modélisation des données

Le Candidat Idéal

Capacité à décomposer des problèmes complexes en éléments gérables et à élaborer des solutions claires
Attitude proactive et motivée face à la résolution de problèmes
Excellentes compétences en matière de documentation du code et de l’architecture logicielle
Motivation personnelle et capacité à trouver des solutions et à résoudre des problèmes avec un minimum de supervision
Aisance face à l’ambiguïté et capacité à apprendre et à s’adapter dans des domaines en pleine évolution
Excellentes compétences en communication visuelle et verbale
Passion pour le divertissement et maîtrise des logiciels créatifs
Très bonnes compétences relationnelles et état d’esprit orienté vers le développement

Learn More

About Autodesk

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

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.

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

The Machine Learning Developer will research, implement, and optimize cutting-edge ML models, specifically focusing on motion prediction and media-related technologies. They will collaborate with global teams to build experimental pipelines, prepare data at scale, and maintain high-quality, scalable code implementations.

Requirements

Candidates must hold a Master's or PhD in a field related to AI/ML, such as Computer Science, Mathematics, or Physics. Proficiency in deep learning frameworks, statistical methods, and scalable compute infrastructure is required, along with practical experience in applying ML algorithms to business problems.

Skills

Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Statistical Methods
Computer Science
Time-series Analysis
Data Modeling
Hyperparameter Tuning
Algorithm Scaling
Motion Prediction
Software Engineering
Media Pipelines
Data Processing

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Artificial Intelligence
Motion Prediction
Statistical Methods
Bayesian Methods
Time-series Data
Data Modeling
Hyperparameter Tuning
Computer Science
Software Engineering
Media Pipelines
Scalable Infrastructure
Orchestration
Algorithm Scaling
Data Processing
Research and Development
Entertainment Technology
Creative Workflows
Assisted Coding
Experimental Pipelines
Model Training

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