Senior Applied Scientist I
Tasks
- Build user models
- Conduct A/B testing
- Debug and iterate production machine learning models
- Develop intent prediction models
- Develop personalized ranking models
- Develop reinforcement learning models
- Improve feed reactivity
- Optimize machine learning models
- Predict lifecycle transitions
- Productionize machine learning models
- Prototype large scale machine learning models
- Train deploy and monitor machine learning systems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Processing | Deep learning | Language Models | Large Language Models | Machine Learning | Multimodal Learning | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Scala | Search Recommendation | Search/recommendation systems | TensorFlow
Education
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