Machine Learning Engineer, Trust and Store Integrity Science

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

The Selling Partner Trust and Store Integritys (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 Amazons 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

- 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

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually


Required Experience:

IC

The Selling Partner Trust and Store Integritys (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...
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Key Skills

  • IDS
  • System Design
  • Haskell
  • PCB
  • Root cause Analysis
  • Technical Writing
  • System Security
  • Federal Aviation Regulations
  • Warehouse Distribution Experience
  • Encryption
  • Product Development
  • Contracts

About Company

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