Applied Scientist I, Amazon

Amazon

London

1 day ago

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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. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

The ATT team, based in Bangalore, is responsible for ensuring that ads are 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 product catalogs, handle billions of requests a day with plans to grow it by an order of magnitude, and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.

In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train, and deploy these models. As part of these activities, you will develop production-level code that enables moderation of millions of ads submitted each day.

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python, or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience building machine learning models or developing algorithms for business applications
- Experience researching machine learning, deep learning, NLP, computer vision, and data science
- Experience in state-of-the-art deep learning model architecture design, training, optimization, and model pruning
- Enrolled in or have completed a Bachelors degree in computer science, machine learning, engineering, or related fields

PREFERRED QUALIFICATIONS

- Experience implementing algorithms using both toolkits and self-developed code
- Publications at top-tier peer-reviewed conferences or journals
- Masters degree

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 visitthis linkfor more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

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