Key job responsibilities
Design and develop ML infrastructure for advanced recommendation models, from training through real-time inference, that delivers highly relevant ads to shoppers worldwide
Improve the scalability, automation and efficiency of large-scale training and real-time inference systems
Work closely with applied scientists to optimize the performance of ML models and infrastructure, and take models from experimentation into production
Deliver ML solutions end to end: design, implementation, testing, deployment and operations
Collaborate with engineers and scientists across the team to build systems that serve ads across all Amazon platforms and surfaces
Participate in design and code reviews and mentor peers
A day in the life
You might start the day checking the health of the overnight feature and training pipelines. Then you'd work with scientists on how to support a new model architecture, and spend the afternoon building a performance improvement for the online feature store. You'll ship often, see your work affect ads served around the world, and influence how ML infrastructure grows across the organization.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
We're the team behind the full ML lifecycle for Sponsored Products recommendation models, from raw data to features, training and real-time serving. We value ownership, getting things done, and close collaboration with science partners. We invest in mentorship and in tools that make engineers and scientists more productive, including AI-assisted development.
3+ years of software development engineer or related occupational experience
3+ 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 building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
Experience programming with at least one software programming language
1+ years of mathematics optimization such as linear programming and nonlinear optimization experience
Master's degree in Computer Science, Engineering, Mathematics, or a related field
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.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
