Machine Learning Engineer
Tasks
- Architect model serving infrastructure and backend components
- Build and maintain training evaluation and experimentation pipelines
- Collaborate with engineers and customers to translate workflows into ML solutions
- Deploy monitor and optimize machine learning models in production
- Design train and optimize deep learning models
- Develop novel machine learning approaches for geometry and design data
- Establish experimentation logging model versioning and performance monitoring best practices
- Evaluate emerging machine learning research
- Implement offline and online evaluation frameworks
- Own machine learning lifecycle from research through deployment
- Transform CAD and geometry data into training datasets
Perks/Benefits
- Career growth
- Dental insurance
- Equity ownership
- Learning opportunities
- Medical insurance
- Paid time off
- Team meals
- Vision insurance
Skills/Tech-stack
3D Representation | AWS | CAD | Cloud platform | Computational Geometry | Computer Graphics | Data Pipelines | Deep learning | Django | Experiment tracking | FastAPI | Flask | Foundation Models | Geometric Deep Learning | Google Cloud | Google Cloud Platform | JAX | Machine Learning | Model Monitoring | Model Serving | Model versioning | Offline evaluation | Online evaluation | PyTorch | Python | Representation Learning | Robotics | Sequence Modeling | TensorFlow
Education
Regions
Countries
States
Cities
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