Machine Learning Engineer

3 weeks ago


Santa Clara, California, United States Amazon Full time
About the Team

The mmPROS Surface Research Science team is dedicated to building the most efficient and optimal transportation network on the planet. We leverage cutting-edge technologies in optimization, operations research, and machine learning to drive innovation and growth.

We are looking for a talented Machine Learning Engineer to join our team and contribute to the development of predictive models and algorithms that optimize Amazon's middle mile transportation network.

Responsibilities include:

  • Developing and implementing machine learning models and algorithms to predict demand and optimize capacity procurement.
  • Collaborating with product, engineering, and operations teams to drive modeling and technical design for complex business problems.
  • Leading complex modeling and data analyses to aid management in making key business decisions and setting new policies.

Benefits

  • A competitive salary range of $136,000 - $222,200 per year, based on location and experience.
  • A comprehensive benefits package, including medical, financial, and other benefits.

Preferred Qualifications

  • PhD in Econometrics or Statistics.
  • Experience with supervised machine learning and forecasting techniques, such as Light GBM, XGBoost, recurrent neural networks, multi-variate regression, ARIMA, and Prophet.
  • Experience with uncertainty modeling techniques, such as factor models and distribution fitting.


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