Software Development Engineer, Prime Science
Amazon
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Benefits offered by this job
Job summary
Amazon Prime’s Science organization seeks a Software Development Engineer to design and build scalable science products for hundreds of millions of customers. You will collaborate with economists, applied scientists, and engineers across Amazon to deploy services that implement econometric and AI models.
You will work on sophisticated distributed systems, implement advanced statistical techniques, and process big data using AWS tools like Bedrock, SageMaker, EMR, Glue, and more.
Qualifications
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling).
- Experience programming with at least one software programming language.
- 3+ years of full software development life cycle including coding standards, code reviews, source control, build, testing and operations.
- Bachelor's degree in computer science or equivalent.
- 2+ years 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 NLP.
Responsibilities
- Design and build science products that scale to hundreds of millions of customers.
- Work with a multi-disciplinary team to deliver high-quality on hard science problems.
- Interface with internal customers to build science products that solve their needs.
- Grow more junior engineers and be a force multiplier.
- Identify operational challenges early and drive operational excellence.
- Contribute to and lead improvements in development processes.
Skills
Education
Tools
Job description
ID lavoro: 10475204 | Amazon.com Services LLC
Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence (inc. Gen AI) and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. Within the engineering group in Prime Science, we develop world class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world class scientists to build a suite of fully automated, scalable and robust products driven by the engineering systems you build.
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.
- 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
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.
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.
- 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
- 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 .
- 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 (RSU)• 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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