2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
Seattle, Washington, USA
USD 142K-193K Entry-level Full Time Internship
Tasks
- Apply causal inference methods
- Build and apply graph models
- Design evaluate and improve optimization models
- Develop and validate machine learning models
- Develop reinforcement learning algorithms
- Develop scalable data analysis pipelines
- Implement machine learning model solutions
- Model and analyze time series data
- Research and apply machine learning techniques
Perks/Benefits
Skills/Tech-stack
Bayesian optimization | Causal Inference | Deep learning | Graph Modeling | Language Models | Large Language Models | Machine Learning | Multi-Armed Bandits | Optimization | Predictive Modeling | Python | Reinforcement Learning | SQL | Statistical modeling | Supervised Learning | Time Series | Unsupervised Learning
Education
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