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Job Details
Posted date: Jan 26, 2026
There have been 60 jobs posted with the title of Machine Learning Engineer all time at Amazon.There have been 60 Machine Learning Engineer jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $169,050
Range: $143,700 - $194,400
Description
The Selling Partner Trust and Store Integrity's (TSI) vision is that bad actors cannot operate in our store while selling partners start and grow their business without fear of disruption, such that customers and selling partners across the globe trust us, and have confidence in the integrity of Amazon’s store. The mission of the TSI Science team is to accelerate and optimize business impact for all TSI programs through innovative, scalable, and impactful science solutions. This includes building efficient capabilities for detecting emerging and ongoing threats from bad actors, driving operational efficiencies through automation, and supporting compliance initiatives in a flexible and scalable manner. We are seeking an experienced Software Development Engineer/Machine Learning Engineer to shape the future of our centralized science infrastructure. This role will bridge the gap between scientific innovation and engineering excellence, creating scalable solutions that empower multiple science teams across the organization.Key job responsibilities
• Lead the architectural design and implementation of enterprise-scale machine learning infrastructure and platforms that serve multiple science domains
• Drive standardization and consolidation of scientific workflows, reducing redundancy and improving operational efficiency
• Partner with science teams to understand domain-specific challenges and translate them into reusable technical solutions
• Define and implement engineering best practices for ML operations, including model deployment, monitoring, and maintenance
• Influence and guide science teams in adopting engineering rigor while maintaining their ability to innovate
• Establish clear boundaries and interfaces between MLE and Science teams, optimizing for team efficiency and delivery speed
• Lead cross-functional initiatives to build common infrastructure that scales scientific solutions into production-grade ML products
• Mentor junior engineers and scientists in software engineering best practices and ML system design
Qualifications
- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Extended Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined 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 and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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