Applied Scientist, Sponsored Products and Brands

Amazon • Seattle, WA

1d

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development
• Knowledge of programming languages such as C/C++, Python, Java or Perl

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 model inference infrastructure to support next-generation machine learning workloads at Amazon Ads scale.
• Work closely with MLEs and SDEs to deliver production ready solutions and assist with system operations.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree