Amazon Applied Scientist L4 AEE Science AI 

United States, Texas, Austin 

812901886

In this role, you will leverage your expertise in machine learning, information retrieval, and natural language processing to design, implement, and optimize ranking and matching algorithms that improve user experience and satisfaction. Key responsibilities include analyzing large datasets to identify patterns and insights, developing and fine-tuning models to improve search result relevance, and collaborating with cross-functional teams to integrate these models into our search systems. You will conduct experiments to evaluate model performance, utilizing A/B testing and other methodologies to ensure continuous improvement.Key job responsibilities
1. Model Development: Design, implement, and refine machine learning models for ranking and matching to enhance search relevance and user satisfaction.2. Data Analysis: Analyze large datasets to extract insights, identify trends, and inform model improvements, ensuring data-driven decision-making.3. Algorithm Optimization: Continuously evaluate and optimize existing algorithms to improve search accuracy and performance through experimentation and iteration.4. Performance Evaluation: Conduct A/B testing and other evaluation methodologies to assess model effectiveness, drawing actionable conclusions to guide further development.5. Cross-Functional Collaboration: Work closely with product managers, engineers, and UX researchers to integrate search models into production systems and align with overall product goals.6. Research and Innovation: Stay current with advancements in machine learning, natural language processing, and information retrieval to drive innovation in search technologies.7. Reporting: Document methodologies, findings, and model performance metrics, and communicate results effectively to stakeholders at all levels.

- Experience programming in Java, C++, Python or related language
- PhD in computer science, machine learning, engineering, or related fields

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals