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Applied Scientist III, Amazon - Ads Nova
Amazon
On-sitestaffPosted May 30, 2026
About the Role
Develop and drive the science strategy for the Ads Foundational Model, build and deploy ML models using CV, NLP, and deep learning to enhance ad effectiveness, and extract signals from various content types to improve customer engagement.
Requirements
Requires expertise in advanced ML techniques, computer vision, NLP, deep learning, and the ability to build and deploy ML models to improve ad effectiveness and customer engagement, leveraging large datasets.
Full Job Description
Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.
We are seeking an experienced Applied Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced machine learning techniques to improve advertiser performance and customer experience.
Key job responsibilities
As an Applied Scientist on this team, you will:
1. Develop and drive the science strategy for Ads Foundational Model (Ads-FM), aligning it with the program's objectives and overall business goals.
2. Identify high-impact opportunities within Ads-FM program and lead the ideation, planning, and execution of science initiatives to address them.
3. Build and deploy machine learning models using computer vision, natural language processing, and deep learning to evaluate and enhance ad effectiveness.
4. Develop algorithms that extract meaningful signals from image, video, and audio content to predict and improve customer engagement
5. Leverage Amazon's extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative
6. Collaborate with business leaders and cross-functional teams to implement ML-powered solutions
7. Contribute to the ML roadmap for the Ads-FM program through innovation and research.
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.
We are seeking an experienced Applied Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced machine learning techniques to improve advertiser performance and customer experience.
Key job responsibilities
As an Applied Scientist on this team, you will:
1. Develop and drive the science strategy for Ads Foundational Model (Ads-FM), aligning it with the program's objectives and overall business goals.
2. Identify high-impact opportunities within Ads-FM program and lead the ideation, planning, and execution of science initiatives to address them.
3. Build and deploy machine learning models using computer vision, natural language processing, and deep learning to evaluate and enhance ad effectiveness.
4. Develop algorithms that extract meaningful signals from image, video, and audio content to predict and improve customer engagement
5. Leverage Amazon's extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative
6. Collaborate with business leaders and cross-functional teams to implement ML-powered solutions
7. Contribute to the ML roadmap for the Ads-FM program through innovation and research.
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Compensation
AI Est. Total Comp
$400,000
Details
Location
New York, New York, USA
Work Type
On-site