Applied Scientist, GenAI, CreativeX, Amazon Advertising Job at Amazon in Bellevu

Applied Scientist, GenAI, CreativeX, Amazon Advertising

Job ID: 2869906 | 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 (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion and transformer models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis.

You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields.

Key Responsibilities

1. Drive end-to-end GenAI projects that have a high degree of ambiguity, scale, and complexity.
2. 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.
3. 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.
4. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
5. Identify and action data collection and labeling in conjunction with team members.
6. Research new and innovative machine learning approaches.
7. Present results and explain methods to senior leadership.

BASIC QUALIFICATIONS

• 3+ years of building ML models
• PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
• Experience programming in Python or C++ or a related language
• Experience with GenAI model training and tuning

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.
• Experience working with teams across different locales.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Posted: December 20, 2024 (Updated about 1 hour ago)

#J-18808-Ljbffr