Key job responsibilities
- Leverage technical expertise and experience to demonstrate leadership in tackling large, complex problems.- Participate in the scientific hiring process. Mentor and develop other scientists by improving their technical skills, solution knowledge, and operational effectiveness.A day in the life
A typical day for an Applied Scientist involves a blend of gaining business know-how and hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day involves monitoring data quality, evaluating model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have resolved complex technical issues, advanced important AI projects, and developed new ideas to improve how Amazon utilizes data to transform the customer experience.Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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