Applied Scientist II, Books Content Experience
1 day ago
Key job responsibilities
- Inspect AI initiatives across Amazon to identify how these can be applied and scaled to book publishers or publishing workflows.
- Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics.
- Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams.
- You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning
- You are able to use reasonable assumptions, data, and customer requirements to solve problems.
- You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members.
- You work with SDEs to deliver solutions into production to benefit customers or an area of the business.
- You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects.
- You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs.
- You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly
- You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics.
- You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results.
A day in the life
You will be working with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team.
Basic Qualifications:
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture
Preferred Qualifications:
- Experience with Linux/Unix
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