Machine Learning Engineer
Tasks
- Architect model serving infrastructure and backend components for CAD integration
- Build scalable training evaluation and experimentation pipelines
- Collaborate with founders and engineers to translate workflows into ML solutions
- Create high quality training datasets from CAD and geometry data
- Design train optimize deep learning models for CAD workflows
- Develop novel machine learning approaches for geometry and engineering datasets
- Establish experimentation logging model versioning and performance monitoring best practices
- Evaluate sequence modeling geometric deep learning and foundation models
- Implement offline and online evaluation frameworks
- Own ML lifecycle from research through deployment monitoring and optimization
- Work with backend engineers on APIs data models and platform scalability
Perks/Benefits
- Catered meals
- Dental insurance
- Equity ownership
- Flexible paid time off
- Medical insurance
- Vision insurance
Skills/Tech-stack
3D Representation | AWS | Computational Geometry | Computer Graphics | Data pipeline | Deep learning | Django | Experimentation | FastAPI | Flask | GCP | JAX | Logging | Machine Learning | Model Evaluation | Model versioning | Monitoring | PyTorch | Python | TensorFlow
Education
Regions
Countries
States
Cities
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