Principal Applied Scientist
Redmond, WA, US; Mountain View, CA, US
USD 163K-331K Senior-level Full Time
Tasks
- Align roadmaps with engineering and product
- Architect recommendation ranking and reranking systems
- Build LLM enhanced ranking systems
- Communicate progress to leadership
- Design machine learning pipelines
- Develop online inference systems
- Drive model architecture innovation
- Integrate agentic AI into ranking stack
- Lead model training and evaluation
- Mentor team members and lead scientific rigor
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Asynchronous programming | Cloud infrastructure | Contextual Bandits | Data Processing | Data Structures | Data structures algorithms | Deep learning | Distributed Pipelines | Distributed Systems | Feature Engineering | Generative AI | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Training | Multi-Objective Optimization | Multi-task Learning | Objective optimization | Online Inference | Personalization | PyTorch | Ranking Models | Recommendation Systems | Reinforcement Learning | Search Relevance | Semantic Embeddings | Spark | TensorFlow
Education
Regions
Countries
States
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