Software Development Engineer to build and improve a generative AI-powered shopping assistant (Rufus) for millions of Amazon customers, focusing on product research, comparisons, and recommendations.

Applied Scientist role focused on building machine learning and optimization models for Amazon's large-scale transportation planning systems, including dynamic pricing and network planning. The role involves designing, building, and implementing scalable products and algorithms within production systems, with a focus on external freight and marketplace operations.

The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability.

MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication.

This role is for a GenAI/ML Specialist Solutions Architect at AWS, focusing on driving the adoption of AWS GenAI/ML services for large enterprise customers in the UKI. The role involves providing deep technical expertise, designing solutions, acting as a trusted advisor, leading architectural reviews, and contributing to product feedback. It requires a strong understanding of Generative AI and Machine Learning services, enterprise-grade architectural strategies, and the ability to translate complex technical concepts into business value.