Role at a glance
- Salary
- $143.7K – $194.4K/yr
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Internship
- Experience
- 3+ years of non-internship professional software development experience
- Education
- Bachelor's degree in computer science or equivalent
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Role Summary
The Prime Science engineering team builds scalable AI/ML foundations and science products for Prime marketing, personalization, targeting, and decisioning. The role involves partnering with economists, applied scientists, developers, and business teams to productionize models and deliver highly available services and large-scale training and inference workflows for Prime customers worldwide.
What You'll Do
- Design and build science products that scale to hundreds of millions of customers
- Develop highly available microservices for real-time decisions
- Build scalable offline systems for large-scale AI/ML training and inference workflows
- Collaborate with applied scientists to productionize machine-learning models
- Interface with internal customers and partner teams to build science products
- Identify operational challenges and improve development processes and operational excellence
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
Preferred
- 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
- 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
As an experienced engineer, you will collaborate with economists, applied scientists and developers across the company to develop, test and deploy services that implement a wide range of econometric and AI models. This requires the use of sophisticated distributed systems, application of advanced statistical techniques and the processing of big data. A successful candidate will have a passion for innovation, interest in advancing technology, and excitement about working with AI in a high-impact business domain.
Key job responsibilities
- Design and build science products that scale to 100's of millions of customers
- Work alongside a multi-disciplinary team to deliver with high quality on hard science problems
- Interface with internal customers to build science products that solve their needs
- Grow more junior engineers and be force multiplier
- Identify operational challenges early in the system and drive operational excellence
- Contribute to and lead the improvements in development processes
A day in the life
You will work to build out scalable AI/ML foundations for the WW Prime team, scaling science across key Prime marketing activities worldwide. You will develop highly available micro services that power real-time decisions for hundreds of millions of Prime customers — our UDS (Unified Decisioning Service) is a tier-1 service handling peak traffic during Prime Day and holiday events with single-digit millisecond latency requirements.
You will build scalable offline systems for large-scale AI/ML training and inference workflows, including model scoring pipelines that process billions of customer-decisions pairs daily.
You will work with AWS technologies on a daily basis including Bedrock, SageMaker, EMR, Glue, Step Functions, DynamoDB, ECS/Fargate, and CloudWatch. You'll collaborate closely with applied scientists to productionize ML models and with partner teams across Acquisition, Retention, Onboarding, Benefits, and Prime CX to deliver customer-facing experiences at Amazon scale.
About the team
The Prime Science engineering team, under the Prime Science organization is working to working to deliver science products that impact 100's of millions customers world wide. We advance the state of the art on science systems to unlock a delightful customer experience. This is a unique opportunity to work in a start up like mode in Amazon on new science.
Basic 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
Preferred 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
- 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.