The Conversational AI Modeling and Learning (CAMEL) team is seeking a skilled Software Development Engineer/Machine Learning Engineer to contribute to the development of advanced Generative AI-powered conversational assistant capabilities. This role involves leveraging the latest techniques in AI to enhance conversational agents and requires collaboration with applied scientists and team members. The position offers an opportunity to work in an Agile/Scrum environment, focusing on high-performance modeling solutions that directly impact customer experiences. Join a team at the forefront of AI innovation and help shape the future of conversational technology.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience, including coding standards and operations
• Bachelor's degree in computer science or equivalent

• Quickly learn the latest technologies and algorithms in Generative AI to build the best conversational agent.
• Develop and maintain key platforms for evaluating and deploying large language models.
• Collaborate with team members to investigate design approaches and prototype new technologies.
• Work closely with applied scientists to process massive data and optimize machine learning models.
• Deliver high-quality software in an Agile/Scrum environment.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.