Principal Applied Scientist
Redmond, WA, US; Mountain View, CA, US
USD 142K-304K Senior-level Full Time
Tasks
- Architect recommendation systems
- Build retrieval models
- Communicate technical progress
- Design model architectures
- Design ranking models
- Design reranking models
- Develop ML and DL pipelines
- Ensure model governance
- Ensure system reliability
- Establish experimentation standards
- Evaluate model performance
- Implement contextual bandits
- Implement multi-task learning
- Implement online inference
- Implement reinforcement learning
- Integrate LLM enhanced ranking
- Lead cross functional roadmap alignment
- Mentor scientists and engineers
- Perform feature engineering
- Scale intelligent ranking systems
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Algorithms | Asynchronous programming | Contextual Bandits | Data Processing | Data Structures | Deep learning | Distributed Systems | Embeddings | Feature Engineering | Generative AI | Information Retrieval | Language Models | Large Language Models | Machine Learning | Multi-Objective Optimization | Multi-task Learning | Objective optimization | Online Inference | PyTorch | Ranking Models | Recommendation Systems | Reinforcement Learning | Reranking | Semantic Embeddings | Spark | TensorFlow
Education
Regions
Countries
States
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