Montreal Developer Jobs

Job Requisition ID #

23WD74274

La traduction en Français se trouve plus bas!/The French translation can be found below!

23WD74274 ML Ops Engineer

Position Overview

As a Machine Learning Operations Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers doing fundamental and applied research that will help our customers imagine, design, and make a better world. You are a software engineer who is passionate about building things, and deploying solutions. You are excited to collaborate with our Research Scientists to perform experiments and deploy state-of-the-art generative AI algorithms. You are comfortable serving as a translator and straddling the gap between research & development.

The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

Reporting to: Senior Manager

Responsibilities

• Configuring infrastructure to enable model training and hyperparameter tuning
• Implementing scaling techniques for training large models
• Optimizing the computational performance and data size of deployed large models
• Supporting research through the construction of experimental pipelines, prototypes, and reusable code
• Collaborating on research projects and papers with a diverse, global team of researchers and engineers

Minimum Qualifications

• BSc or MSc in Computer Science, or equivalent industry experience
• 2+ years of experience with deep learning and generative models
• Experience with cloud services & architectures for deploying large models (AWS, Azure, etc.)
• Experience with version controlling, reproducibility, and deploying machine learning models
• Strong data modelling and data architecture skills
• Proficiency with modern deep learning libraries and frameworks
• Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure

Preferred Qualifications

• Experience scaling ML training pipelines
• Experience deploying large models
• Experience with sync/async distributed methods for data/model parallelism
• Experience working in large distributed systems
• Multi-modal deep learning and/or information retrieval
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

The Ideal Candidate

• A Software Engineer with experience building and deploying robust machine learning systems
• Familiar with implementing experimental pipelines and prototyping AI applications
• Comfortable building prototypes from scratch and writing maintainable code within existing codebases
• Who is excited to learn & develop new technologies
• Who can effectively collaborate across global locations

#LIPOST

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