Senior AI Engineer Self-Supervised Learning
Tasks
- Build data loaders and access patterns
- Create high signal structured datasets
- Define data strategies and interfaces
- Design scalable data pipelines
- Develop self-supervised learning algorithms
- Generate pseudo labels
- Implement evaluation strategies and benchmarks
- Process transform sensor data
- Prototype data curation active learning anomaly detection
Perks/Benefits
Skills/Tech-stack
Active Learning | Anomaly Detection | Contrastive Learning | DVC | Data Versioning | DataLoader | Generative Models | IMU | Kubeflow | Lidar | MLOps | Masked Autoencoders | Odometry | Pachyderm | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | World Models
Education
Roles
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