Applied Scientist, Worldwide Returns & Recommerce - Science

$136,000 - $222,200/Yr

Amazon - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The position is part of the Worldwide Returns & ReCommerce (WWR&R) team at Amazon, focusing on creating innovative solutions to enhance customer returns experiences while promoting sustainability. The role involves designing and developing advanced machine learning models, particularly in Natural Language Processing (NLP) and computer vision, to optimize the returns process and reduce waste. The team emphasizes operational excellence and aims to create long-term value for both customers and the environment.

Responsibilities

• Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
• Use SQL to query and analyze the data.
• Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models.
• Use machine learning and analytical techniques to create scalable solutions for business problems.
• Research and implement novel machine learning and statistical approaches.
• Mentor interns.
• Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

Requirements

• 2+ 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 in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow

Nice-to-haves

• Experience building machine learning models or developing algorithms for business application
• Experience in building speech recognition, machine translation and natural language processing systems
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan