Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations.

As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include automated pricing and demand forecasting for hundreds of millions of products, predicting ad click probabilities, ranking product search results, matching products from multiple sources, classifying products into large taxonomies, information extraction and sentiment analysis for product reviews, voice recognition, natural language understanding, question answering and conversational systems.

We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story

Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers.

What are some of the problems we're working on?

I. Operational Efficiency : Improve operational efficiency by reducing abuse, improving address quality and increasing payment/delivery success rates.

II. Customer Experience : Improve customer experience by increasing search results and ads relevance, personalization, and providing conversational interfaces.

III. Seller Experience : Improve seller experience by providing automated tools (e.g. for forecasting product demand) that help them streamline their operations and grow their businesses on Amazon.

IV. Catalog Quality : Improve catalog quality by identifying and correcting defects related to product attributes (e.g. title) and images.

V. ML Platforms : Build ML platforms to speed up development and deployment of ML solutions.

VI. ML Education : Spread ML knowledge to empower the Amazon technical community.

We encourage thought leadership and blue ocean thinking in ML

Click to view the list of publications by Amazon ML scientists