Sr. Applied Scientist, Amazon Publisher Monetization - Ads

Amazon Advertising LLC; Seattle (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading company in video advertising seeks a Senior Applied Scientist to drive innovation in AI and machine learning. This role involves shaping ad solutions, exploring generative AI technologies, and developing advanced machine learning models. Candidates should possess a strong blend of technical expertise and leadership skills.

Qualifications

• 3+ years of building ML models for business applications.
• Experience with neural deep learning methods.
• Familiarity with large scale distributed systems.

Responsibilities

• Develop AI-based solutions for contextual signals in ads.
• Drive applied science projects with high ambiguity and scale.
• Provide leadership on computer vision and machine learning.

Skills

Building machine learning models

Computer vision

Contextual targeting

Generative AI

Education

PhD or Master's degree

Tools

Java

C++

Python

R

TensorFlow

Job description

Advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to streaming video and publishers are increasingly adding video content to their online experiences. Amazon’s video advertising is a rising competitor in this industry. Amazon’s service has differentiated assets in our customer & audience insights, exclusive video content, and associated inventory that position us well as an end-to-end service for advertisers and agencies. We are innovating at the intersection of advertising, e-commerce, and entertainment.

Amazon Publisher Monetization (APM) is looking for a a passionate and experienced science leader who is adept at a variety of skills; especially in generative AI, computer vision, and large language models that will accelerate our plans to maximize yield via AI-driven context targeting. The ideal candidate will be our team's scientist #1 - a self-starter we can build a team around - an inventor at heart, they will provide science leadership, establish compelling direction and vision, rapidly prototype and iterate, foster the spirit of collaboration and innovation within our larger sister teams and their scientists, and execute against a compelling product roadmap designed to bring AI-led science innovation to solve one of the most challenging problems in advertising.

Key job responsibilities

This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers, improved performance for advertisers, and maximizing the yield of our supply inventory.

Responsibilities include :

• Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.
• Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity.
• Provide technical / science leadership related to computer vision, large language models and contextual targeting.
• Research new and innovative machine learning approaches.
• Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.

BASIC 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

PREFERRED QUALIFICATIONS

• 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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Sr Applied Scientist • Seattle, Washington, USA