Senior Data Scientist II (ML)
Tasks
- Apply weak supervision
- Curate datasets for evaluation and training
- Design and deploy machine learning models for multimodal data
- Establish model validation frameworks
- Handle long tail events
- Implement sequential feature extraction
- Improve labeling data quality
- Monitor model performance
- Use self supervised learning for representation
Perks/Benefits
- Dental & vision coverage
- Disability plans
- Flexible spending account
- Flexible vacation policy
- Health savings account
- Healthcare coverage
- Life insurance
- Paid parental leave
- Retirement plan match
- Wellness program
Skills/Tech-stack
AWS | Apache Spark | Cloud Computing | Data labeling | Dataset curation | Deep learning | Feature extraction | GCP | MLOps | Model Validation | Multimodal Data | Performance Monitoring | PySpark | PyTorch | Python | Self-Supervised Learning | Self-supervised | Sequential Feature Extraction | Supervised Learning | TensorFlow | Weak Supervision
Education
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