Sr. Applied Scientist, Amazon Publisher Monetization - Ads
Amazon, San Francisco, CA, United States
Sr. Applied Scientist, Amazon Publisher Monetization - Ads
Job ID: 10402725 | Amazon.com Services LLC
Advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers shift 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 passionate and experienced scientist 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 contextual targeting, Ads syndication and more. The ideal candidate will be an inventor at heart, they will provide science expertise, rapidly prototype, iterate, and launch, 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 Responsibilities
Partner deeply with Product and Engineering to develop AI-based solutions to generate 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, and 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.
Benefits
The base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). 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 offers comprehensive benefits including health insurance (medical, dental, vision, prescription), basic life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 10402725 | Amazon.com Services LLC
Advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers shift 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 passionate and experienced scientist 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 contextual targeting, Ads syndication and more. The ideal candidate will be an inventor at heart, they will provide science expertise, rapidly prototype, iterate, and launch, 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 Responsibilities
Partner deeply with Product and Engineering to develop AI-based solutions to generate 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, and 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.
Benefits
The base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). 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 offers comprehensive benefits including health insurance (medical, dental, vision, prescription), basic life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr