Applied Scientist, Amazon Leo Satellite Build Systems
Tasks
- Analyze model performance and root causes
- Apply anomaly detection and generative AI techniques
- Build production quality machine learning components
- Design experiments and evaluation frameworks
- Design, train, and deploy machine learning models
- Develop machine learning models
- Document approaches results and design decisions
- Integrate models into production workflows
- Mentor teammates and lead technical discussions
- Train models on noisy heterogeneous datasets
- Translate manufacturing problems into scientific problems
Perks/Benefits
- 401k matching
- Adoption and surrogacy reimbursement
- Dental insurance
- Employee assistance program mental health support
- Flexible spending accounts
- Health insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Anomaly Detection | C++ | Causal Inference | Cause analysis | Data Mining | Deep learning | Distributed Computing | Evaluation Frameworks | Generative AI | High Performance | High-Performance Computing | Information Retrieval | Java | LLM-based systems | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Multimodal Models | Natural Language | Natural Language Processing | Numerical Optimization | Parallel Computing | Performance Computing | Python | Retrieval models | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Statistical modeling | Unix/Linux
Education
Roles
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