Senior Applied Scientist-Ads Relevance
United States, Washington, Redmond; United States, California, Mountain View
USD 119K-234K Senior-level Full Time
Tasks
- Analyze offline and online model performance
- Define ad relevance problem
- Deploy scalable machine learning solutions
- Develop deep learning relevance models
- Optimize system performance through testing
Perks/Benefits
- N/A
Skills/Tech-stack
Agent coordination | C++ | Checkpointing | Computer Vision | Controlled Online Experiments | Cost analysis | Data parallelism | Deep learning | Distributed Training | Efficient Serving | Evaluation metrics | Experiment Management | Human evaluation | Information Retrieval | LLM | Language Processing | Latency analysis | Machine Learning | Memory | Mixed Precision | Mixed-precision training | Model Parallelism | Multi-Agent | Multi-Agent Coordination | Natural Language | Natural Language Processing | Online Advertising | Online experiments | Performance optimization | Planning | Python | Responsible AI | Retrieval | Robustness Testing | Safety testing | Structured Output | Tool-Calling | Transformer | Vision Transformer
Education
Roles
Regions
Countries
States
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