Machine Learning Engineer, Sponsored Products and Brands
Amazon.com
Want to build business and ML systems that impact hundreds of millions of customers Worldwide?
We are looking for outstanding Machine Learning Engineers to join the Kaizen team within Sponsored Products and Brands (SPB). Kaizen team is responsible for growing Amazon Ads business in growing and emerging regions (Asia Pacific, LATAM and EMEA) by defining new regional experiences for shoppers and advertisers based on local context. We own end to end business for SPB and looking for like-minded people who can run with same ownership. As a member of our Agile team you will have the opportunity to drive a key business area in Amazon Ads.
Your team will own the business, technology, and operations, giving you the responsibility and authority to ensure success. You will be involved in every aspect of the process - from idea generation, business analysis and technical design through to software development across a variety of technologies. Your systems will meet remarkably high standards of performance and reliability, and will operate at massive scale, 24x7.
The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects for our growing businesses.
Key job responsibilities
• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.
• Run A/B experiments based on independent data analysis
We are looking for outstanding Machine Learning Engineers to join the Kaizen team within Sponsored Products and Brands (SPB). Kaizen team is responsible for growing Amazon Ads business in growing and emerging regions (Asia Pacific, LATAM and EMEA) by defining new regional experiences for shoppers and advertisers based on local context. We own end to end business for SPB and looking for like-minded people who can run with same ownership. As a member of our Agile team you will have the opportunity to drive a key business area in Amazon Ads.
Your team will own the business, technology, and operations, giving you the responsibility and authority to ensure success. You will be involved in every aspect of the process - from idea generation, business analysis and technical design through to software development across a variety of technologies. Your systems will meet remarkably high standards of performance and reliability, and will operate at massive scale, 24x7.
The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects for our growing businesses.
Key job responsibilities
• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.
• Run A/B experiments based on independent data analysis
Confirm your E-mail: Send Email
All Jobs from Amazon.com