ML Engineer
Tasks
- Align model behavior with user requirements
- Design train and evaluate computer vision and 3D machine learning models
- Develop evaluation metrics for surveying and engineering accuracy
- Develop research that translates into product capabilities
- Frame ML problems and define data strategy
- Prototype new model approaches and run experiments
- Scale training and inference with ML infrastructure engineers
- Train evaluate and integrate models into cloud CAD software
Perks/Benefits
- N/A
Skills/Tech-stack
3D Detection | 3D segmentation | 3D transforms | 3D understanding | Computer Vision | Coordinate systems | Deep learning | Experiment tracking | GPU Training | Image detection | JAX | Knowledge Distillation | Lidar | Model Evaluation | Model Training | Multi-GPU | Multi-GPU Training | ONNX Runtime | Object Detection | Point clouds | Pruning | PyTorch | Python | Quantization | Segmentation | TensorFlow | TensorRT | Weights and Biases
Education
Regions
Countries
States
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