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aws python kubernetes computer vision pytorchπ Description
- Provide CV expertise to solve problems in person perception and understanding
- Work with other team members to build/train/deploy deep learning models
- Hypothesize, design, and conduct experiments on novel architectures or sensors
- Build tools for model training and diagnostics
- Analyze data from alpha/beta testers and production to assess model performance
- Willing to learn and passionate about fitness
π― Requirements
- MS/PhD in CS or related field focusing on computer vision, ML and math
- Strong background in software engineering
- 2+ years building CV ML solutions with supervised, self-supervised, or unsupervised methods
- Deep knowledge of CV NN architectures (CNN, LSTM, 3DConv, GNN, TCN, Transformer)
- Strong knowledge of object detection, segmentation, pose estimation, and optical flow
- Experience with PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS
π Benefits
- Medical, dental and vision insurance
- Generous paid time off and disability coverage
- 401k with match and tuition reimbursement
- Employee Stock Purchase Plan
- Fertility/adoption support and paid parental leave
- Free Peloton Digital App, discounts and commuter benefits
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