Senior Applied Scientist

Role Description

The Sponsored Products and Brands (SPB) 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 are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

The Sponsored Products and Brands -- Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces.

As a Senior Applied Scientist on this team, you will:

• Effectively communicate technical and non-technical ideas with teammates and stakeholders, adjusting your delivery to the audience to maximize impact.
• Drive or heavily influence the design of scientifically-complex software solutions or systems, taking ownership of these components and providing a system-wide view and design guidance.
• Define a long-term science vision and roadmap for our Offsite advertising business, driven from our customers' needs.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
• Identify opportunities where GenAI solutions can accelerate learning and efficiency, and drive greater advertiser outcomes.
• Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
• Stay up-to-date with advancements and the latest modeling techniques in the field.

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Requirements

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Benefits

• Comprehensive 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.