Machine Learning Engineer II, AWS Just-Walk-Out Science Team

Amazon's AWS Just Walk Out (JWO) team is revolutionizing retail with checkout-free shopping experiences powered by cutting-edge AI technology. As a Machine Learning Engineer II, you'll be part of the team developing autonomous AI agents that make intelligent decisions based on visual inputs and understand customer behavior patterns. The role combines advanced machine learning, computer vision, and distributed systems to create innovative solutions for the future of retail.

You'll work on designing and maintaining large-scale distributed training systems to support multi-modal foundation models for autonomous retailing. The position requires expertise in GPU optimization, deep learning frameworks, and the ability to scale complex ML models while maintaining high performance and reliability.

The team operates in a startup-like environment within Amazon, focusing on pushing the boundaries of computer vision, deep learning, and real-time systems. You'll collaborate with Applied Scientists and Engineers to develop and optimize training pipelines, integrate state-of-the-art models, and solve complex technical challenges.

This role offers significant opportunity for growth and impact, as you'll be working on technology that directly affects millions of customers' shopping experiences. The team values work-life balance, mentorship, and professional development, fostering an inclusive culture that embraces diversity and innovation.

The position combines technical expertise with business impact, as you'll be contributing to a revolutionary retail technology that's changing how people shop. You'll have access to Amazon's vast computing resources and data, enabling you to work on large-scale AI applications that push the boundaries of what's possible in retail technology.

Working at Amazon means being part of a culture that values innovation, customer obsession, and long-term thinking. The team offers flexibility in working hours, strong mentorship opportunities, and a collaborative environment where you can grow your career while working on cutting-edge technology that's reshaping the retail industry.