Applied Scientist I, International Seller Services

Amazon Inc.; Bengaluru; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Amazon Science is seeking a Machine Learning scientist with 1+ years of industry experience to develop and ship large-scale ML products with clear customer impact. The role emphasizes scalable Agentic/ RL or forecasting systems and strong ML background, with potential publication opportunities.

You will build production-grade ML solutions, collaborate globally, and contribute to research efforts. Tier-1 publications are a plus, and prior experience with customer-facing ML systems is valued.

Qualifications

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Tier-1 publications in top conferences/journals are a plus

Responsabilités

• Build, productionize (real & batch), and measure impact of state-of-the-art Gen AI systems for Amazon global selling partners.
• Collaborate with global leaders and teams across time zones on a regular basis.
• Contribute to Amazon-wide research via publications and white papers

Connaissances

Java

C++

Python

SQL

Description du poste

Description

We are seeking a stellar Machine Learning scientist who has 1+ years of industry experience developing and shipping large scale ML products with visible customer impact. We would prefer if your previous work has been in developing scalable Agentic, RL or forecasting systems. Strong academic background in Statistics, Machine Learning & Deep Learning is required with Tier -1 publications being a plus.

Key job responsibilities

In this position, you will be a key contributor (with direct leadership visibility) building, productionizing (real & batch) and measuring impact of state of the art personalized Gen AI systems for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers. You will work with global leaders and teams across time zones on a regular basis.

About The Team

Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. In this ecosystem our team plays a critical role in enabling Sellers across EU5, China, Japan, Australia, Brazil and Turkey to make their Selection available to customers globally and deliver the experience they have come to expect from Amazon.

In Jeff’s own words (2019 Q1 shareholders letter): “Something strange and remarkable has happened over the last 20 years. Take a look at these numbers: 1999 - 3% …… 2018 - 58%. The % represent the share of physical gross merchandise sales sold on Amazon by independent third-party sellers – mostly small- and medium-sized businesses – as opposed to Amazon retail's own first party sales. Third-party sales have grown from 3% of the total to 58%. To put it bluntly: Third-party sellers are kicking our first party butt. Badly.…. Why were independent sellers able to grow so much faster than Amazon's own highly organized first-party sales organization? There isn't one answer, but we do know one extremely important part of the answer: We helped independent sellers compete against our first-party business by investing in and offering them the very best selling tools we could imagine and build.

Our team is pushing the boundaries of these machine learning tools in areas of Agentic, recommendation and forecasting systems to help our sellers sell more and across borders.

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• 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.