Applied Scientist III - AMZ26155.1

Amazon.com • Seattle, WA

76d • $178,006 - $226,100

About The Position

Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Telecommuting may be permitted.

Requirements

• Master's degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field.
• Two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
• Alternatively, a Bachelor's degree or foreign equivalent in the same fields and five years of research or work experience.
• One year of research or work experience in programming in Java, C++, Python, or equivalent programming language.
• Experience in conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects.

Responsibilities

• Design, develop, evaluate, deploy and update data-driven models and analytical solutions for ML and NL applications.
• Develop and apply statistical modeling techniques, optimization methods, and other ML techniques.
• Build and deploy ML models on available data.
• Run and analyze experiments in a production environment.
• Identify new opportunities for research to meet business goals.
• Research and implement novel ML and statistical approaches.
• Mentor junior engineers and scientists.

Benefits

• Sign-on bonus
• Restricted stock units
• Full range of medical benefits
• Financial benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: General Merchandise Retailers
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees