Software Dev Engineer II, Amazon Digital Advertising

Our team owns advertising attribution services to inform advertisers the effectiveness of their marketing campaigns. Our attribution services process 200 million conversion events and 40 billion advertising events on a daily basis. We also have a causal inference machine learning model that estimates advertisements' causal impact on customers' behavior.

Key responsibilities of this role include building and maintaining state-of-the-art ML Ops system that automatically manages the entire lifecycle of our models; collaborating with Applied Scientists and Economists to continuously improve the quality of our models; as well as ensuring operational excellence of our overall systems.

We are seeking a strong engineer who can validate our success metrics, shape our strategies, and identify untapped opportunities. To be successful in this role you will need to be innovative in your thinking, effective at cross-team collaboration, experienced in working with data science teams, and have a solid understanding of large-scale data flows. You will need to be comfortable working with complex challenges and understand the value of rapid test and learn approaches. You will need to be savvy about leveraging large data sets and using a broad range of statistical, data mining, and scripting technologies., 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
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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

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, NY, New York - 158,100.00 - 213,800.00 USD annually

Amazon Digital Advertising team is seeking a Software Development Engineer to enable data-driven customer and performance insights for our digital advertising programs. Amazon's Ad Platform supports both Amazon's own marketing efforts and our third party advertising services. Our platform consists of integrated inventory, ad delivery, and analytics services, and is one of the largest and most sophisticated ad platforms in the industry. Being an integral part of the Amazon's Ad Platform, Amazon Digital Advertising program is one of the fastest growing businesses. With over 20 billion dollars of annual marketing spending, Amazon itself is among the world's top advertisers. Our team focuses on developing the capabilities to support Amazon's own unique advertising needs and our top strategic programs. We develop the services to ingest enormous amount and broad spectrum of data signals and enable attribution against strategic success events. In partnership with other analytics and research science teams within Amazon, we develop the systems to calculate the total value of our advertising and strive to develop the most accurate models for understanding how we influence customers. With the help of Machine Learning, we continuously fine tune our attribution model aiming for optimal results.