Amazon NPI Sr Product Development Engineer -Manufacturing 

United States, Massachusetts 

993965097

Key job responsibilities
• Candidates will be responsible for developing solutions to better manage and optimize flexible labor capacity. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. As a senior scientist, you will also help coach/mentor junior scientists on the team.
• In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead science initiatives for strategic optimization and capacity planning. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems.
• Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
• Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.
• Apply mathematical optimization techniques and algorithms to design optimal or near optimal solution methodologies to be used for labor planning.
• Research, prototype, simulate, and experiment with these models and participate in the production level deployment in Python or Java.A day in the life

- 1+ years of programming in Java, C++, Python or related language experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in building machine learning models for business application

- Experience using Unix/Linux
- Experience in professional software development
- Experience implementing algorithms using both toolkits and self-developed code