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Description

Amazon Advertising is one of Amazon's fastest growing and most profitable 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 (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.

We are looking for talented an Applied Scientist who is adept at a variety of skills, especially with latent diffusion models, large language models, 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 and innovative spirit within the team, and bring latest applied research to raise the bar within the team.

As a Generative AI Applied Scientist on this team, you will:

* Drive end-to-end GenAI projects that have a high degree of ambiguity, scale and complexity.

* Build 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.

* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.

* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.

* Identify and action data collection and labelling in conjunction with team members.

* Research new and innovative machine learning approaches.

* Present results and explain methods to senior leadership.

Why you will love this opportunity

Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

PREFERRED QUALIFICATIONS

* Published relevant research work in leading ML conferences or journals.

* Experience in building and deploying large-scale machine-learning models for computer vision, natural language processing, ranking, or personalization, etc.

* Experience working with large real-world data sets and building scalable models from big data.

Key job responsibilities

This role is focused on generating image/text and building the related foundational models for generative AI. You will develop core models that will be the foundational of the core advertising-facing tools that we are launching. You will conduct literature reviews to stay on the latest trends in the field. You will regularly engage with product managers and technical program managers, 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 and deploy 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 consists of applied scientists and machine learning engineers. 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.

Basic Qualifications

- 5+ years of building machine learning models for business application experience

- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience

- Experience programming in Java, C++, Python or related language

Preferred Qualifications

- Experience researching about machine learning, deep learning, NLP, computer vision, data science

- Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search

- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

- Experience in data science, business analytics, business intelligence, or similar experience in big data environments

- Experience equally comfortable building strategic marketing plans and executing at a tactical level

- Experience shaping business strategy for technical products or services for large enterprises or partners

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.