Applied Scientist III, Advertising Trust

Amazon; City of Edinburgh; On-site; GBP 50,000 - 85,000; Full time

Job summary

Amazon is seeking an Applied Scientist III for its Advertising Trust team in Edinburgh. In this role, you will enhance ad relevance through machine learning models, collaborating closely with teams to aid in processing millions of ads daily. The ideal candidate has substantial experience in machine learning, coding, and applying advanced modeling techniques.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience with neural deep learning methods.

Responsibilities

• Build and develop ML models for content understanding in ads.
• Collaborate with engineers and scientists to deploy models.
• Develop production-level code for ad moderation.

Skills

Machine Learning

Deep Learning

Programming (Java, C++, Python)

Content Understanding

Education

PhD or Master's degree

Tools

R

scikit-learn

TensorFlow

Hadoop

Spark

Job description

Applied Scientist III, Advertising Trust

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 is 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 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 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

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.