Data Science Intern (Personalization & Recommender Systems)
Tasks
- Apply contextual bandits and reinforcement learning
- Build real time and streaming personalization systems
- Contribute to end to end machine learning lifecycle
- Design and deploy recommender systems for ranking and discovery
- Develop user and item embeddings and representations
- Improve diversification and novelty for long term engagement
- Perform offline evaluation and online experimentation
- Run large scale A B experiments
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Contextual Bandits | Embeddings | Graph Neural Networks | MAP | Machine Learning | NDCG | Neural Networks | Offline evaluation | Online Experimentation | Pandas | Personalization | PyTorch | Python | RNN | Recall | Recommender Systems | Reinforcement Learning | Representation Learning | SQL | Sequence Models | TensorFlow | Transformers
Education
Regions
Countries
States
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