Applied Scientist Manager, Worldwide Returns & ReCommerce (Fulfillment & Operations)

Amazon; Bellevue (WA); On-site; USD 183,800 - 248,700; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Job summary

Amazon is seeking a senior ML leader to drive reverse logistics initiatives in Bellevue, WA. You will develop customer-facing and internal tools, train ML models, and invent channels to give products a second life, delivering delightful return experiences.

The role requires strong ML/NLP expertise, experience managing engineers, and the ability to explain complex concepts across the organization. Competitive compensation and comprehensive benefits are included.

Qualifications

• 3+ years of managing scientists or ML engineers.
• Knowledge of ML, NLP, information retrieval, and analytics.
• 4+ years of building ML models or developing algorithms for business applications.
• 2+ years of programming in Java, C++, Python or a related language.
• Excellent oral and written communication skills, able to explain complex technical concepts to all levels of the organization.
• Experience building ML models or developing algorithms for business applications.

Responsibilities

• Develop customer-facing and vendor-facing websites and internal software tools for the reverse-logistics process.
• Create scalable, high-availability solutions that solve complex and broad business problems.
• Train machine learning models to automate routing and identify signals that optimize reuse.
• Invent new channels to give products a second life.
• Provide product support that helps customers love what they buy.
• Pilot smarter product evaluations and refine return experience.
• Work from the customer backward to make the return experience remarkably delightful and easy.

Skills

Managing ML teams

ML, NLP, IR, analytics

ML models / algorithms

Programming: Java / C++ / Python

Communication skills

Education

PhD or Master's degree

Tools

Deep learning frameworks

Computer vision

Job description

Job ID: 10375226 | Amazon.com Services LLC

Job Overview

We are a cross‑functional team dedicated to achieving zero cost of returns, zero waste, and zero defects. We develop groundbreaking products, machine learning models, and operational excellence solutions to help customers keep what they buy, recover returned and damaged product value, and protect the planet.

Responsibilities

• Develop customer‑facing and vendor‑facing websites and internal software tools for the reverse‑logistics process.
• Create scalable, high‑availability solutions that solve complex and broad business problems.
• Train machine learning models to automate routing and identify signals that optimize reuse.
• Invent new channels to give products a second life.
• Provide product support that helps customers love what they buy.
• Pilot smarter product evaluations and refine return experience.
• Work from the customer backward to make the return experience remarkably delightful and easy.

Qualifications

• 3+ years of managing scientists or machine learning engineers.
• Knowledge of ML, NLP, information retrieval, and analytics.
• 4+ years of building ML models or developing algorithms for business applications.
• 2+ years of programming in Java, C++, Python or a related language.
• Excellent oral and written communication skills, able to explain complex technical concepts to all levels of the organization.

Preferred Qualifications

• Experience building ML models or developing algorithms for business applications.
• Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers.
• PhD or Master’s degree and 3+ years of managing scientists or machine learning engineers.

Compensation & Benefits

The base salary range for this position is $183,800.00 – $248,700.00 USD annually for USA, WA, Bellevue. The package includes sign‑on payments and restricted stock units (RSUs). Final compensation will be based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits, including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional supplemental life plans, Employee Assistance Program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Equal Opportunity Employment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.