Machine Learning Developer – Toronto

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.

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