layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…From Amazon's posting. “We” and “our” refer to the employer.
Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics. Within the engineering group, 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 data systems you develop.
As Prime expands its science-driven capabilities globally, we are growing the engineering team to meet increasing demand for reliable, high-throughput data infrastructure. Do you want to work with Amazon's best engineers on hard problems at massive scale? Do you want to impact over 300 million Prime members worldwide? Are you someone who likes using big data to drive high-impact business decisions? If so, come join our team!
The Prime Member Experience engineering team sits at the intersection of large-scale engineering systems and applied science ,econometrics, machine learning, and AI delivering applications that reach over 300 million customers. Our team includes data engineers, software engineers, and scientists who partner closely to build and operate real-time science products.
We are focused on enabling Prime Science adoption worldwide across Amazon, and the growing complexity of our real-time data products creates data engineering challenges that give you hands-on experience with problems the broader industry will face in the years ahead.
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
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 - 132,100.00 - 178,800.00 USD annually
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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