Principal Machine Learning Engineer
Tasks
- Build ML platform tools and infrastructure
- Build continuous learning automation
- Collaborate cross functionally to build end to end ML systems
- Define next generation ML platform roadmap
- Design systems for scalable model development
- Develop unified embeddings platform
- Implement drift monitoring and evaluation
- Optimize ML workflows for accuracy and efficiency
- Scale training pipelines
- Streamline feature engineering pipelines
Perks/Benefits
- 401k
- Employee assistance program
- Employee stock purchase plan
- Health savings account
- Medical/Dental/Vision insurance
- Paid family and parental leave
- Paid time off
- Productivity allowance
- Remote work flexibility
- Sick leave
- Team events and onsite collaboration
- Wellness allowance
Skills/Tech-stack
CUDA | Continuous Learning | Data Preparation | Drift monitoring | Embedding | Experimentation | Feature Engineering | Feature Store | GPU Acceleration | Hyperparameter Tuning | Machine Learning | Model Deployment | Model Evaluation | Model Training | Model selection | Production Machine Learning | PyTorch | Python | Retraining | Scikit-learn | TensorFlow | XGBoost
Education
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