Job description

Amazon’s Risk Prevention organization constantly makes high judgment decisions across a wide breadth of constituents. We build and deliver services for Buyers, Sellers, Vendors and other customers. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products. We support our many partners in this journey. We face constant trade-offs and competing objectives that we need to appropriately balance. We have to do all of this at high scale which only happens through technology and science. You will be part of a team that uses technology including machine learning and graph modeling techniques, cloud computing services and highly available and scalable distributed systems that supports hundreds of millions of transactions across the globe. We are the Core Relations Engineering team in Risk and Fraud Detection organization. We provide highly effective, production ready relationship data insights (with transparency to audit, experiment, and enhance those insights) to allow teams across Amazon to make risk decisions. Our clients are the scientists, engineers, product managers, and investigators behind 45+ programs across Amazon. We provide all the necessary tools to engineer new features, explore graph-based insights, and detect risky relationships. Come join the best in class team of engineers, who are owners, and inventors. We are at the intersection of Machine Learning and Fraud Detection, while delivering customer impact at amazon scale. Interact with ML scientists on a daily basis, and build the services to beat to keep the bad guys out. Key job responsibilities Develop large scale, high performance, high reliability ML systems for data, feature, model and rule management. - Work closely with ML scientists, understand the requirements, design and deliver innovative next-gen solutions to help preserve customer trust. Work as the owner of the system and operate excellent to provide stable and robust services to customers and other teams. Innovate based on new ideas and build comprehensive system/features across the whole ML pipeline - 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design 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 - 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 amazon.jobs 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 amazon.jobs . USA, AZ, Tempe - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Develop large scale, high performance, high reliability ML systems for data, feature, model and rule management. -
Innovate based on new ideas and build comprehensive system/features across the whole ML pipeline
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
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design 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
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.
USA, AZ, Tempe - 143,700.00 - 194,400.00 USD annually

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmljava

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave