Machine Learning Performance Developer - Remote

Overview

As a Machine Learning Engineer at Autodesk Research, you will work alongside world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world.

In Short

• Implement GPU kernels for low precision inference.
• Write custom algorithms to optimize machine learning tasks.
• Profile and optimize machine learning code.
• Collaborate with a diverse, global team.
• Support research through the construction of ML pipelines.
• 3+ years of software development experience required.
• Experience with PyTorch, CUDA, and C++ is essential.
• Knowledge of cloud services such as AWS and Azure.
• Excellent documentation skills are necessary.
• Work is available in-person, hybrid, or remote.

Requirements

• BSc or MSc in Computer Science or equivalent experience.
• Experience with version control and deploying machine learning models.
• Knowledge of GPU computing and optimization techniques.
• Experience with high-performance parallel programming preferred.
• Familiarity with data modeling and processing.
• Experience with distributed systems is a plus.
• Understanding of the design and manufacturing industries is beneficial.
• Prior experience with Autodesk products is a plus.

Benefits

• Competitive compensation package including bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote, hybrid, in-person).
• Culture of belonging and equity in the workplace.
• Opportunities for professional development.
• Supportive team environment.