Applied Scientist, Central Seller Fulfillment

About the Role

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

Key Responsibilities

• Building and productionizing state-of-the-art personalized Gen AI systems for Amazon global selling partners.
• Measuring the impact of AI systems and contributing to Amazon-wide research in this area through publications and white papers.
• Collaborating with global leaders and teams across time zones to drive innovation and growth.
• Designing complex scalable AI systems and developing expertise across various science domains.
• Creating data pipelines and querying data from large-scale data warehousing platforms such as Spark, HIVE, and Redshift.
• Distilling informal customer requirements into problem definitions and formulating ML products to solve these problems.
• Writing clear, structured, and modularized code in Python and leveraging expertise in Deep Learning frameworks such as Tensorflow, Keras, and Pytorch.

Skills & Qualifications

• Strong academic background in Statistics, Machine Learning, and Deep Learning.
• Master's degree in CS or ML-related fields.
• Experience programming in Java, C++, Python, or related languages.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience implementing algorithms using both toolkits and self-developed code.
• Publications at top-tier peer-reviewed conferences or journals.
• Expertise in Deep Learning frameworks such as Tensorflow, Keras, and Pytorch.
• Experience with Agentic frameworks such as LangChain and Crew AI.
• Proficiency in querying data from large-scale data warehousing platforms such as Spark, HIVE, and Redshift.

What You'll Learn

In this role, you will have the opportunity to work on cutting-edge AI systems and contribute to Amazon-wide research in this area.

You will learn from global leaders and teams across time zones and develop expertise in various science domains, including statistics, deep learning, and Agentic systems.

This role will provide you with the chance to grow your skills and knowledge in AI, machine learning, and data science, and contribute to the success of Amazon's global selling partners.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning frameworks such as Tensorflow, Keras, and Pytorch, as well as your expertise in Agentic systems and data warehousing platforms.

Also, be sure to include any relevant publications or research experience in your resume, as this will be an important factor in the selection process.