Applied Science Manager, Sponsored Products and Brands

About the role

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. 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.

Key job responsibilities

• Hire and develop a team of high performing applied scientists that is responsible for developing AI solutions for Sponsored Brands advertiser and shopper experiences.
• You should be technically solid, able to roll up your sleeves easily, and have strong curiosity and appetite to invent Gen AI solutions that solve customer problems.
• Build recommendation systems that leverage generative models to develop and improve campaigns.
• Technically lead and mentor the scientists on the team.
• Research and apply the latest Gen AI and ML techniques and best practices.
• Use analytical techniques to create scalable solutions for business problems.
• Establish structures that enable your team to solve complex problems and deliver results.

Basic Qualifications

• 4+ years of applied research experience
• 3+ years of scientists or machine learning engineers management experience
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience programming in Java, C++, Python or related language
• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience in defining and creating benchmarks for assessing GenAI model performance
• Deep curiosity, and basic knowledge on Gen AI

Preferred Qualifications

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Previous work on agents or LLMs

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, NY, New York - 202,200.00 - 273,600.00 USD annually

USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually