Job Location: Los Angeles, CA
- Programming experience with at least one software programming language.
- 1+ years of experience in software development
Job summary
The Sponsored Products Allocation, Pricing, and Marketplace Controls Team is responsible for auctions that drive a multi-billion dollar advertising program. We use data-driven approaches to make trade-offs between publisher, advertiser, and shopper concerns as a part of Sponsored Products Ads program. With a broad mandate to experiment and innovate using the power of data science, big data and machine learning, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
As a Machine Learning Engineer on the Sponsored Products Allocation, Pricing, and Marketplace Controls Team, you’ll have a unique opportunity to build our next generation platform to leverage vast amounts of data and machine learning techniques to optimize auctions for Sponsored Products on Amazon. You’ll work with Product Managers, Economists and Scientists to solve complex problems at Amazon-scale bringing your engineering skills together with the powers of AWS to launch solutions that will have direct customer impact.
Amazon is investing heavily in building a world class advertising business, and we define and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We are a highly motivated, collaborative and fun-loving team building a high growth business. This is an opportunity to make a significant impact on the future of the Amazon vision.
Design and implement infrastructure for orchestrating end to end machine learning lifecycles
Work with a variety of technologies such as Spark, EMR, AWS Lambda and Step functions, etc.
Set up processes to monitor and continually improve efficiency and performance of KPIs
Help shape the technical direction for simulation and automation to evolve the auction mechanism
Partner with applied scientists to drive machine learning modeling, and experimental design such as A/B testing.
Key job responsibilities
Experience working with high-performance scalable systems
Experience in online advertising
5+ years of industry experience
MS/PhD in Computer Science or a related technical discipline
Hands-on experience deploying machine learning models in production
Experience with machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.
Experience working with high-performance scalable systems
Experience in online advertising
2+ years of industry experience
MS/PhD in Computer Science or a related technical discipline
Academic and/or industry experience with one of more of the following domains: computer vision, deep learning, machine learning or large-scale distributed systems.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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