Applied Scientist, Sponsored Products and Brands

Amazon Inc.; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon.com Services LLC in New York is seeking an Applied Scientist to join the Sponsored Products and Brands team. You will build scalable ML models and drive end-to-end ML systems, from training to inference, including emerging LLM-based workloads that deliver highly relevant ads to shoppers worldwide.

We expect a strong ML engineering background, collaboration with engineers and scientists, and a passion for innovating at the intersection of customer experience and AI technology.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree with 4+ years in CS, CE, ML or related field.
• Experience programming in Java, C++, Python.
• Experience in Unix/Linux and professional software development.

Responsibilities

• Develop scalable and effective ML models and optimization strategies to solve business problems.
• Research new ML modeling approaches to optimize Sponsored Products.
• Enhance scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer development of LLM inference infrastructure for GenAI workloads at Amazon Ads scale.

Skills

ML model development

Java / C++ / Python

Distributed computing

Education

PhD

MS in CS/CE/ML

Tools

Unix/Linux

Job description

Applied Scientist, Sponsored Products and Brands

Job ID: 10595560 | Amazon.com Services LLC

About Sponsored Products and Brands

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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.

About our team

SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.

We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.

Key job responsibilities

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.
• Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
• Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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 - 172,400.00 - 223,400.00 USD annually
• USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
• USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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.

Location: ES, Community of Madrid, Madrid