The role is for a Machine Learning Engineer within the AWS Applied AI Solutions organization, focusing on building applied AI solutions that enhance business operations. The team aims to create intuitive technology solutions that leverage Amazon's expertise and AI capabilities. The engineer will bridge the gap between research and customer-facing products, contributing to a collaborative culture and delivering production-ready ML solutions. This position is ideal for someone who values a bias for action and is eager to work in a fast-paced environment.

• 3+ years of non-internship professional software development experience
• 2+ years of design or architecture experience of new and existing systems
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, or distributed software applications
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience

• Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems.
• Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance.
• Establish scalable, efficient, automated processes for large-scale data analysis and machine learning model development.
• Research and implement innovative approaches for efficient model deployment, training, and optimization.
• Document processes and methods for both technical and non-technical audiences.
• Contribute to code reviews and maintain high engineering standards across the team.
• Mentor junior MLEs and actively participate in recruiting top talent.
• Present outcomes and explain technical approaches to senior leadership.

• 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.