Sr. SDE, Trust and Store Integrity Science
Amazon.com
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 Senior Software Development Engineer/Machine Learning Engineer to lead and 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
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 Senior Software Development Engineer/Machine Learning Engineer to lead and 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
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