Senior Applied Scientist
United States, Washington, Redmond; United States, California, Mountain View
USD 119K-234K Senior-level Full Time
Tasks
- Analyze quality and performance bottlenecks
- Apply responsible AI and security principles
- Design datasets metrics experiments and benchmarks
- Develop machine learning innovations
- Document experiments results and implementation guidance
- Implement quantization distillation and model compression
- Integrate machine learning components runtimes and developer APIs
- Mentor engineers on applied machine learning and evaluation
- Mitigate privacy security bias and reliability risks
- Productionize model quality and inference efficiency improvements
- Research prototype and evaluate ML techniques
- Validate behavior through production testing and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Approximate Nearest Neighbor | Data benchmarking | Embeddings | Evaluation metrics | Experiment design | Generative AI | Indexing | Inference Optimization | Inference Orchestration | Knowledge Distillation | Machine Learning | Model Adaptation | Model Compression | Nearest neighbor | Performance Tuning | Quantization | Responsible AI | Retrieval-Augmented Generation | Search and Retrieval
Education
Regions
Countries
States
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