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Senior Applied Scientist, Advertising Quality
2 months ago
Senior Applied Scientist, Advertising Quality
Amazon is making significant investments in establishing a premier advertising division, and our team is tasked with defining and delivering a suite of self-service performance advertising solutions that enhance product discovery and drive sales.
Our offerings are crucial to both our Retail and Marketplace sectors, contributing to sustained growth. We manage billions of ad impressions and millions of clicks on a daily basis, continuously pushing the boundaries to develop top-tier products.
We pride ourselves on being highly motivated, collaborative, and enjoyable to work with, embodying an entrepreneurial mindset and a proactive approach. With a vast scope for experimentation and innovation, we are experiencing unprecedented growth and an endless array of new opportunities.
The Advertising Trust team, located in Bangalore, is dedicated to ensuring that advertisements are pertinent and of high quality, resulting in improved conversion rates for sellers and an exceptional experience for customers.
We handle one of the largest product catalogs globally, processing billions of requests each day with plans for substantial growth. Our automated systems validate tens of millions of offers submitted by numerous merchants across various countries and languages.
In this position, you will design and develop machine learning models to tackle content comprehension challenges in advertisements. These models will leverage a range of visual and textual features, necessitating expertise in both areas. Additionally, these models must be scalable across multiple languages and regions. You will work closely with engineers and fellow scientists to construct, train, and deploy these models.
As part of your responsibilities, you will create production-level code that facilitates the moderation of millions of advertisements submitted daily.
BASIC QUALIFICATIONS
- 3+ years of experience in developing machine learning models for business applications
- PhD or Master's degree with 6+ years of applied research experience
- Proficiency in programming languages such as Java, C++, Python, or similar
- Experience with neural deep learning techniques and machine learning methodologies
PREFERRED QUALIFICATIONS
- Familiarity with modeling tools including R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
