ML Engineer training diffusion models for Hapiko’s voice - activated Stickerbox, which turns kids’ spoken ideas into stickers. Bringing Spin Master characters into production safely and on - model.
About the role
- Machine Learning Engineer developing and collaborating on ML-powered product features for Autodesk. Working with AI researchers and engineers to improve design and production processes.
Responsibilities
- Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
- Support research through the construction of ML pipelines, prototypes, and reusable, testable code
- Process data and analyze feature extractions
- Analyze errors and provide solutions to problems
- Present results to collaborators and leadership
Requirements
- BSc or MSc in Computer Science, or equivalent industry experience
- 3+ years of machine learning experience
- Experience scaling machine learning training and data pipelines
- Experience with computational geometry and geometric methods including mesh or B-Rep models
- Experience with version control, reproducibility, and deploying machine learning models
- Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
- Experience with cloud services and architectures (e.g. AWS, Azure)
- Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
- Excellent written documentation skills to document code, architectures, and experiments
Benefits
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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