We are seeking an exceptional Machine Learning Engineer to join a team of experts in the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic systems, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection.

As a machine learning engineer, you will work with a highly skilled cross-functional team to invent, design, build and manage scalable ML systems. You will be solving challenging customer problems that are yet to be solved, conduct rapid prototyping, and deploy ML models to production. You will be using the latest innovations in AI, AWS, and industry technologies to build software, keeping our customers safe.

If you’d like to make a real-world difference by working hard, having fun, and making history, this is the team for you!

Key job responsibilities
In this role you will:
- Contribute to defining the system architecture, own implementation of specific components, and help shape the overall experience
- Collaborate closely with other team members to help define the scope of the product
- Take responsibility for technical problem solving to creatively meeting objectives, while insisting on best practices
- Write high-quality, efficient, testable code in Python and other object-oriented languages
- Design Amazon-scale tools to facilitate internal business
- Build highly available, secure, and low-latency systems
- Find out what it takes to engineer systems for "Amazon Scale"
- Own and operate the systems that you build based on real-time customer data and demanding service-level agreements



A day in the life
High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing and writing high quality code.

About the team
We are a team of scientists and engineers building AI/ML solutions to make Amazon the Earth’s most trusted shopping destination for safe and compliant products.