Software Machine Learning Engineer
Tasks
- Apply graph machine learning to model relationships
- Build and experiment with reinforcement learning algorithms
- Define evaluation metrics and validation strategies for ML models
- Design and develop training evaluation and deployment pipelines for ML models
- Improve ML infrastructure tooling and best practices
- Incorporate interpretability and explainability techniques
- Integrate ML solutions into production systems
Perks/Benefits
- Dental insurance
- Disability insurance
- Discretionary bonuses
- Flexible spending accounts
- Life insurance
- Medical insurance
- Paid Vacation & Holidays
- Retirement savings plans
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Applied AI | Attention Mechanism | Explainable AI | Graph Machine Learning | Interpretability | LIME | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Policy Optimization | Policy gradients | Proximal Policy Optimization | Python | Q-learning | Reinforcement Learning | SHAP | Version control
Education
Regions
Countries
States
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