Sr. Applied Scientist Gen AI, Amazon Advertising - CreativeX
Amazon, San Francisco, California, United States, 94199
Sr. Applied Scientist Gen AI, Amazon Advertising - CreativeX
Job ID: 3190432 | Amazon.com Services LLC
Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent‑diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related.
As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi‑modal Generative AI and can use state‑of‑the‑art generative music and audio, computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high‑quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring SOTA research to raise the bar within the team.
Key responsibilities
Drive the invention and development of novel AI agent architectures and video/image/audio generation models in advertising.
Strong expertise in AI agent evaluation methodologies and complex task decomposition; hands‑on experience with AI‑powered video generation pipelines.
Deep knowledge in LLM/VLM fine‑tuning and reinforcement learning.
Work closely and integrate end‑to‑end proof‑of‑concept machine learning projects that have a high degree of ambiguity, scale and complexity.
Build interface‑oriented systems that use machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and serving.
Mentor and help recruit Applied Scientists to the team.
Present results and explain methods to senior leadership.
Willingness to publish research at internal and external top scientific venues.
Write and pursue IP submissions.
Additional responsibilities This role is focused on developing new multi‑modal generative AI methods to augment generative imagery and videos. You will develop new multi‑modal paradigms, models, datasets and agentic architectures that will be at the core of advertising‑facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers, UX designers and engineers who will partner with you to productize your work.
A day in the life On a day‑to‑day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership.
About the team The team is a dynamic team of applied scientists, UX researchers, engineers and product leaders. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
Locations
UK (London)
USA (Seattle)
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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your recruiting partner.
The base salary range for this position is listed below. 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 also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
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Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent‑diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related.
As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi‑modal Generative AI and can use state‑of‑the‑art generative music and audio, computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high‑quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring SOTA research to raise the bar within the team.
Key responsibilities
Drive the invention and development of novel AI agent architectures and video/image/audio generation models in advertising.
Strong expertise in AI agent evaluation methodologies and complex task decomposition; hands‑on experience with AI‑powered video generation pipelines.
Deep knowledge in LLM/VLM fine‑tuning and reinforcement learning.
Work closely and integrate end‑to‑end proof‑of‑concept machine learning projects that have a high degree of ambiguity, scale and complexity.
Build interface‑oriented systems that use machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and serving.
Mentor and help recruit Applied Scientists to the team.
Present results and explain methods to senior leadership.
Willingness to publish research at internal and external top scientific venues.
Write and pursue IP submissions.
Additional responsibilities This role is focused on developing new multi‑modal generative AI methods to augment generative imagery and videos. You will develop new multi‑modal paradigms, models, datasets and agentic architectures that will be at the core of advertising‑facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers, UX designers and engineers who will partner with you to productize your work.
A day in the life On a day‑to‑day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership.
About the team The team is a dynamic team of applied scientists, UX researchers, engineers and product leaders. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
Locations
UK (London)
USA (Seattle)
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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your recruiting partner.
The base salary range for this position is listed below. 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 also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
#J-18808-Ljbffr