Machine Learning Developer

26WD100628

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

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.

The role is based in Toronto, Montreal or Vancouver. It is a hybrid role.

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

• 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

• 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, Tensor Flow, 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

• 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

• 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

• Highl…