Applied Machine Learning Scientist

Job description

DESCRIPTION

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

The Role:
Do you want to join a new group of scientists who use machine learning and statistical models to create state-of-the art solutions that impact Amazon's products? Do you want to build predictive systems to help guide our product design, support engineering knowledge, and understand customer needs? Do you like to own end-to-end business problems from data collection to deployment? If you have an entrepreneurial spirit and long for the opportunity to build solutions to difficult problems, we want to talk to you.

Major responsibilities
· Research and implement machine learning models to drive product design, features, and field reliability
· Establish scalable, efficient, automated processes for model development, validation, and deployment
· Work collaboratively with software developers, data engineers, and hardware engineers to build tools for hardware development

Desired profile

BASIC QUALIFICATIONS

· MS in Engineering, Physical Science, Operations Research, or related quantitative field
· 1+ years' experience with various data analysis and visualization tools
· Good knowledge of Python
· Knowledge of various machine learning techniques and key parameters that affect their performance
· Experience developing experimental and analytical plans for data modeling processes, using strong baselines, and determining causal relations