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Machine Learning Engineer, Optimization
Optimize and implement generative AI features in Autodesk products for enhanced user experience.
Toronto
Expert
1 month ago
✨ About The Role
- The role focuses on optimizing new and existing machine learning models deployed in Autodesk software.
- Responsibilities include quantizing, distilling, and pruning large-scale models to evaluate their efficiency and effectiveness.
- The candidate will experiment with various techniques to analyze and optimize throughput, latency, and efficiency of productionized models.
- The position requires presenting results to collaborators and leadership, emphasizing the importance of communication skills.
- The role supports both in-person, hybrid, and remote work arrangements, reflecting a flexible work environment.
âš¡ Requirements
- The ideal candidate will have a strong background in machine learning, particularly in training, deploying, and optimizing large and generative models.
- A minimum of 3 years of professional experience in the field is required, along with a deep understanding of modern deep learning techniques.
- The candidate should possess excellent problem-solving skills and a passion for building innovative solutions.
- Strong collaboration skills are essential, as the role involves working closely with AI researchers and other team members.
- The successful individual will have experience with cloud services and architecture, particularly AWS or Azure.
About PlanGrid
Mobile applications for the construction industry.