Join Our Team as a Principal Research Scientist at Amazon

Amazon's Fulfillment Planning & Execution (FPX) Science team, a part of the Supply Chain Optimization Technologies (SCOT) Fulfilment Optimization group, is on the lookout for a Principal Research Scientist with a speciality in Machine Learning. This role is crucial for enhancing our operational efficiencies globally through cutting-edge ML solutions and sophisticated modeling.

About This Role

As a Principal Research Scientist, you will be entrenched in some of the most challenging and mathematically complex issues in facility and transportation planning. Your expertise will help us improve the strategic management of Amazon’s expansive global fulfillment and transportation network. This includes the intricate planning of order distribution and optimizing shipping methods in terms of cost, speed, and carbon impact.

Your responsibilities will span from creating advanced mathematical models to developing real-time systems that perform thousands of transactions per second. You’ll work closely with a dynamic team of product managers, researchers, statisticians, and engineers to integrate state-of-the-art scientific methodologies into practical, scalable solutions.

Key Job Responsibilities

- Propose, design, and implement Machine Learning solutions that resolve a wide array of business challenges within Network Planning and Fulfillment Execution.

- Lead end-to-end ML project cycles from conceptualization and data analysis to prototyping, development, and deployment.

- Provide rigorous assessment and validation of modeling techniques used by others, mentoring peers and fostering a collaborative team environment.

- Influence and advocate optimal ML solutions to stakeholders at all levels, including executive decision-makers.

- Play a pivotal role in guiding the strategic direction of fulfillment optimization technologies within Amazon.

What a Typical Day Looks Like

In this high-impact role, you will drive major technology decisions and collaborate with other leaders across the tech and business sectors of Amazon. Expect to tackle ambitious challenges, leading to significant direct impact on our global operational practices and bottom line.

Who We Are

The FPX Science team is composed of top-tier scientists with expertise in Machine Learning, Operations Research, and beyond. We focus on blending these disciplines to address some of Amazon's top technical challenges, enhancing operational excellence on a global scale unique to Amazon.

Location & Qualifications

This position is available in Bellevue, WA, USA. Ideal candidates should have:

• At least 10 years of relevant tech industry experience
• PhD in statistics, mathematics, economics, computer science, or another quantitative field
• Proven ability to collaborate effectively across diverse teams

Preferred qualifications include:

• Proficiency in high-level modeling languages like AMPL, Mosel, R, Matlab, or Julia

Join Us

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer. We offer a competitive salary and a comprehensive benefits package. To find out more about what it's like to work at Amazon, visit our Careers page.

This position will remain open until filled. Ready to apply? Visit our careers site today.

Benefits & Compensation

Our compensation packages are designed to reflect the cost of labor across various US locations. Salaries range from $170,500/year in our lowest geographic market up to $294,700/year in our highest. For more detailed information on our full benefits package, including equity, sign-on bonuses, and more, visit our Employee Benefits page.

If you are a visionary in Machine Learning and thrive in fast-paced, innovative environments, apply now to become a part of our Amazon family.