Amazon Applied Scientist - ML Artificial Intelligence 

United States, Washington, Seattle 

346615510

We develop scalable and robust state-of-the-art HOTW what if scenario planning, recommendation and decision engines that are being supported with complex optimization, machine learning and simulation models.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving recommendation, decision and simulation engines, and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning.You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing decision and cognitive models and developing smart automation solutions.Key job responsibilities
- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization capabilities
- Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models
- Stay up-to-date on the latest academic research and industry best practices in ML/DL, AI and Generative AI and tools, and identify opportunities to apply new approaches
A day in the life

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Strong understanding of machine learning, deep learning, AI and generative AI principles and algorithms, and familiarity with natural language processing (NLP) and computer vision for generative AI applications