Applied Scientist, Sponsored Products and Brands

Amazon • Seattle, WA

1d

About The Position

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.

Calling all inventors to work on exciting new opportunities in Sponsored
Products. We are a highly motivated, collaborative and fun-loving group with an
entrepreneurial spirit and bias for action.

You will join a newly-founded team with a broad mandate to experiment and
innovate, with a focus on driving growth of sponsored products ad experiences
across Amazon stores worldwide. This broad charter gives us the flexibility to
explore and apply scientific techniques to novel product problems. You will have
the satisfaction of seeing your work improve the experience of millions of
Amazon shoppers worldwide while driving quantifiable revenue impact. More
importantly, you will have the opportunity to broaden your technical skills, and
be a science leader in an environment that thrives on creativity,
experimentation, and product innovation.

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

Responsibilities

• Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
• Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them
• Research new and innovative machine learning approaches.
• Recruit Scientists to the team and provide mentorship.

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