Applied Scientist II, Advertising Trust

Amazon; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Amazon Advertising is looking for a specialist to build and deploy machine learning models for ads content understanding and labeling. The role requires collaboration with engineers and scientists to train, validate, and deploy production systems.

You will scale models to support multiple languages and countries in a fast‑growing ads ecosystem. The ideal candidate has 3+ years of model-building experience and a strong background in deep learning frameworks such as MXNet and TensorFlow, with a

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML-related experience.
• Experience with popular deep learning frameworks such as MXNet and TensorFlow.
• Experience building ML models or developing algorithms for business applications.

Responsibilities

• Build and deploy production‑grade ML models for ads content understanding and labeling.
• Collaborate with engineers and other scientists to train and deploy models.
• Scale models to multiple languages/countries and handle high‑volume data.

Skills

ML model development

Deep learning

Software collaboration

Education

Master's degree or PhD in CS/CE/ML

Tools

MXNet

TensorFlow

Python

C++

Job description

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. 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.

About the ATT team

The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are 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 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.

Role

In this role, you will build and develop ML models to address content understanding and labeling 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 labeling of advertising assets and moderation of millions of ads submitted each day.

Basic Qualifications

• 3+ years of building models for business application experience


• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience


• Experience with popular deep learning frameworks such as MxNet and Tensor Flow


• Experience building machine learning models or developing algorithms for business application

Preferred Qualifications

• Knowledge of programming languages such as C/C++, Python, Java or Perl


• Have publications at top-tier peer-reviewed conferences or journals

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 visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - ADCI - Karnataka

Job ID: A10434237