Principal Applied Scientist
Redmond, WA, US; Mountain View, CA, US
USD 139K-304K Senior-level Full Time
Tasks
- Apply LLM enhanced ranking
- Apply reinforcement learning
- Architect recommendation systems
- Build retrieval models
- Deploy online inference
- Design ranking models
- Design reranking models
- Develop ML DL model pipelines
- Ensure end-to-end delivery
- Implement contextual bandits
- Implement multi-task learning
- Innovate model architectures
- Integrate new capabilities
- Lead cross functional roadmap alignment
- Mentor scientists and engineers
- Perform feature engineering
- Train and evaluate models
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Algorithms | Asynchronous programming | Contextual Bandits | Data Processing | Data Structures | Deep learning | Distributed Pipelines | Distributed Systems | Feature Engineering | Generative AI | High Throughput | High-Throughput Systems | Language Models | Large Language Models | Model Evaluation | Model Training | Multitask Learning | Online Inference | Personalization | PyTorch | Ranking | Recommendation Systems | Reinforcement Learning | Relevance modeling | Reranking | Retrieval | Search Relevance | Semantic Embeddings | Spark | TensorFlow
Education
Regions
Countries
States
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