ML Engineer, Devices and Services Security

Amazon's Devices and Services Security team is seeking a Machine Learning Engineer to develop cutting-edge AI solutions that protect popular consumer products including Alexa, Echo, Fire TV, and Kindle. This role sits at the intersection of Machine Learning, AI, and Security, focusing on leveraging Large Language Models (LLM), ML, and Natural Language Processing (NLP) techniques to advance security measures in Amazon's product ecosystem.

The position offers an exciting opportunity to work with state-of-the-art technologies like Amazon SageMaker and Amazon Bedrock while building scalable production solutions. You'll be responsible for designing major security tooling and infrastructure, defining development roadmaps, and building solutions from the ground up. The role involves direct collaboration with Security Engineers to transform security requirements into technical solutions.

Working in an Agile environment, you'll interact with diverse stakeholders including product teams, security engineers, and other key partners to launch and iterate on solutions that protect users globally. The team values diverse experiences and perspectives, recognizing that thinking outside the box is crucial for staying ahead of security threats.

Amazon Security offers exceptional career growth opportunities, with access to extensive knowledge-sharing resources and training to help you develop as a well-rounded professional. The company emphasizes work-life harmony and provides comprehensive benefits. You'll be part of an organization that maintains high security standards across Amazon's vast product portfolio while having opportunities to build experience across multiple domains including cloud, devices, retail, entertainment, and healthcare.

The ideal candidate should have strong software development experience, expertise in machine learning model deployment, and the ability to work effectively with cross-functional teams. This role offers competitive compensation and the chance to make a significant impact on the security of products used by millions of customers worldwide.