Machine Learning Engineer
3 weeks ago
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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