Senior Machine Learning Engineer, AI Generation Engine
Tasks
- Conduct model failure analysis
- Deploy machine learning models to production
- Design data pipelines
- Develop machine learning models
- Enforce code quality security standards
- Evaluate model performance
- Fine-tune model training
- Implement CI/CD for ML
- Manage MLOps workflows
- Optimize model architecture
- Perform hyperparameter tuning
- Track experiments
Perks/Benefits
- 401k matching
- Equipment budget
- Home office stipend
- Medical insurance
- Paid parental leave
- Parental leave
- Summer break
- Unlimited PTO
- Wellness stipend
- Winter break
Skills/Tech-stack
AWS | Automated testing | CI/CD | Cloud Computing | Data Pipelines | GCP | JAX | MLOps | MLflow | NumPy | Pandas | PyTorch | Python | TensorFlow | Version control | Weights and Biases
Education
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