Applied Science Manager, ATT

DESCRIPTION

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.

The ATT team, based in Bangalore, is responsible for ensuring that ads are compliant to world-wide advertising policies and are of high quality, leading to higher conversion for the advertisers and providing a great experience for the shoppers. Machine learning, particularly multi-modal data understanding, is fundamental to the way we drive our business, meet our goals and satisfy our customers. ATT team invests in researching and developing state of art models that analyze various type of ad assets – text, audio, images and videos - to ensure compliance to advertising policies. We also help advertisers create more successful ads by creating ML models to assist ad generation as well as to provide data-driven interpretable insights.

Key job responsibilities
Major responsibilities
· Deliver key goals to enhance advertiser experience and protect shopper trust by innovative use of computer vision, NLP and statistical techniques
· Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
· Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group
· Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production

BASIC QUALIFICATIONS

• 8+ years of building machine learning models or developing algorithms for business application experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• 5+ years of scientists or machine learning engineers management experience

PREFERRED QUALIFICATIONS

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience in Deep Learning, Multi-modal learning, RL, Active Learning, Generative AI, Application of LLMs and VLMs