Principal Applied Scientist
Redmond, WA, US; Mountain View, CA, US
USD 163K-331K Senior-level Full Time
Tasks
- Align roadmaps across engineering product and platform
- Architect ranking reranking retrieval systems
- Communicate team progress and evangelize opportunities
- Establish experimentation model governance reliability standards
- Innovate in model architectures
- Integrate generative AI and agentic systems into ranking stack
- Lead ML DL model pipelines
- Mentor team members and foster scientific rigor
- Perform feature engineering model training evaluation online inference
- Scale intelligent ranking systems for personalized content
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | Asynchronous programming | Cloud infrastructure | Contextual Bandits | Data Processing | Data Structures | Deep learning | Distributed Systems | Feature Engineering | LLM Based Ranking | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Training | Multi-Objective Optimization | Multi-task Learning | Natural Language | Natural Language Processing | Objective optimization | Online Inference | Personalization | PyTorch | Ranking Models | Recommendation Systems | Reinforcement Learning | Relevance modeling | Search Relevance | Spark | TensorFlow
Education
Regions
Countries
States
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