Job Description

DESCRIPTION Job summary Advertisements Moderation Automation and Relevance System (MARS) team is responsible for ensuring that ads are policy compliant, relevant and of good quality, leading to higher conversion for the sellers and providing a great

DESCRIPTION Job summary Advertisements Moderation Automation and Relevance System (MARS) team is responsible for ensuring that ads are policy compliant, relevant and of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world's largest ads catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of ads submitted by thousands of merchants in multiple countries and languages. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. In this role, you will build advanced algorithms for content understanding and enhancement requiring expertise in Computer Vision spanning image/video labeling, edits, enhancements and generation. These models need to scale to hundreds of requests per second. You will collaborate with engineers and other scientists to build, train and deploy these models to enable Advertisers run successful ad campaigns on digital platforms. You will propose models, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop production level code that enables our business goals. BASIC QUALIFICATIONS Masters in Computer Science, Computer Engineering or related technical discipline Expertise in Computer Vision with familiarity of Natural Language Processing 3+ years of relevant applied sciences experience A deep understanding of algorithms, ML, and some exposure to big data systems Expertise in programming languages (python, java) typically used for deep neural network training and launch of models PREFERRED QUALIFICATIONS PhD in Computer Vision or equivalent Significant peer reviewed scientific contributions in relevant field Expertise on a broad set of practical experience of applying techniques, including Deep Learning, statistics, Recommendation systems and or information retrieval Strong fundamentals in problem solving, algorithm design and complexity analysis Expert in more than one more major programming languages (Java, C++ or similar) Great verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts A track record of shipping models to production on time Prior experience with agile methodologies Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.