Job summary
We are seeking a stellar Machine Learning scientist who has 3+ 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.

• Minimum requirements

• Master’s degree in CS or ML related field and 3+ yrs experience working as a Machine Learning Scientist/Tech Lead creating and shipping impactful ML products.

• Ability to write clear, structured and modularized code in Python.

• Expertise in Deep Learning frameworks such as Tensorflow, Keras and Pytorch & Agentic frameworks such as Lang Chain, Crew AI etc.

• Industry experience designing complex scalable AI systems.

• Experience and technical expertise across various science domains. Crucial ones being statistics, deep & machine learning.

• Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms.

• Expert in distilling informal customer requirements into problem definitions, dealing with ambiguity and formulating ML products to solve these problems.

• Preferred Qualification

• PhD in CS or a highly computation field with 2-3+ years of industry experience shipping impactful ML products.

• Industry experience designing and creating state of the art recommendation and ranking systems using neural & causal techniques.

• Academic publications in the areas of Agentic systems, reinforcement learning etc.

• Industry experience working and delivering in an Agile/Scrum environment.

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. We are 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

• 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 in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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.