Sr Applied Scientist
Tasks
- Build representation learning models
- Collaborate with engineers and product stakeholders
- Deploy ML models in production
- Design machine learning models
- Evaluate state of the art techniques
- Formulate ambiguous problems into ML tasks
- Integrate methods into production systems
- Iterate on model performance
- Lead model development and deployment discussions
- Model player skill and interaction patterns
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Autoencoders | Deep learning | Economics | Embedding Models | Graph Neural Networks | Machine Learning | Neural Networks | Operations Research | PyTorch | Python | RNN | Ranking Systems | Recommendation Systems | Representation Learning | SQL | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sequence Models | Statistics | Supervised Learning | TensorFlow | Transformers
Education
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