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Machine Learning Engineer – 3D Geometry, Multi-Modal
AutodeskMachine Learning Engineer developing and collaborating on ML-powered product features for Autodesk. Working with AI researchers and engineers to improve design and production processes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning, including the construction of ML pipelines and data processing, while effectively collaborating with diverse teams. Proficient in modern deep learning frameworks and cloud services, with strong documentation skills.
Highest-signal resume keywords
Machine Learning ExperienceML Pipeline ConstructionDeep Learning FrameworksCloud Services (AWS, Azure)Data Modeling and Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ProcessingFeature ExtractionComputational GeometryGeometric MethodsVersion ControlModel DeploymentData Architecture2D and 3D GeometryDocumentation Skills
Soft Skills
CollaborationProblem SolvingCommunication
Tools & Technologies
PyTorchHuggingFaceRayAWSAzure
Certifications & Qualifications
BSc or MSc in Computer Science
Industry Keywords
Machine Learning PipelinesReproducibilityMesh ModelsB-Rep Models
Tech Stack
Tools & technologiesAWSAzureCloudPyTorchRay
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package