Machine Learning Developer Job Toronto area,Ontario Canada,IT/Tech

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.

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.

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, 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

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

-------------------------------------------------------------------------------------------…