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Job Requisition ID #
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
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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
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).
Skills Required
- Master’s or PhD in artificial intelligence, machine learning, computer science, mathematics, statistics, physics, or a related field
- Proficiency in deep learning techniques, including network architectures, regularization, learning techniques, loss functions, and optimization strategies
- Strong background in statistical machine learning methods, including Bayesian methods, HMMs, graphical models, dimensionality reduction, clustering, classification, and regression
- Experience with multiple assisted coding environments
- Knowledge of best practices for high-velocity and scalable assisted code generation
- Experience with computational time-series data analytics and prediction
- Proficiency with scalable compute, bandwidth, storage infrastructure, and associated orchestration layers
- Proficiency with Python, TensorFlow, PyTorch, and standard deep learning frameworks
- Strong understanding of fundamental computer science algorithms and their scaling behavior
- Practical experience applying machine learning algorithms and libraries to business problems
- Experience in production environments and creative workflows in entertainment or adjacent industries
- Experience collaborating with creatives and producers
- Familiarity with media pipelines and practical data modeling
Autodesk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Autodesk and has not been reviewed or approved by Autodesk.
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Leave & Time Off Breadth — Time away is considered expansive, combining discretionary time off for salaried roles, company holidays/Autodays, and a periodic paid sabbatical. These options provide flexibility beyond standard accrual-based PTO.
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Equity Value & Accessibility — Total rewards prominently include RSUs and an employee stock purchase plan with a discount and lookback, alongside annual bonus or commission programs. These elements are available to eligible employees and can materially augment base pay.
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Parental & Family Support — Family-building support includes reimbursement for adoption, surrogacy, IVF/co‑maternity, and fertility benefits, plus dedicated coaching and Cleo resources for parenting and caregiving. These services extend support before, during, and after leave.
Autodesk Insights
What We Do
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 a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.
Why Work With Us
Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife.
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