The role is for a Machine Learning Engineer within the AWS Applied AI Solutions organization, focusing on building scalable production ML systems. The team aims to leverage Amazon's expertise to create AI solutions that enhance business operations for clients worldwide. The position requires collaboration with Applied Scientists and engineering teams to transform research into robust products. The ideal candidate will contribute to a culture of innovation and high engineering standards while mentoring junior team members.

• 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 experience designing and developing large-scale software applications using C#, C++, Java, or Perl
• 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 engineering teams to transform research code into production systems
• Own end-to-end deployment at scale of Generative AI and ML methods
• Establish scalable and automated processes for data analysis and model development
• Research and implement innovative approaches for model deployment and optimization
• Document processes for both technical and non-technical audiences
• Contribute to code reviews and maintain high engineering standards
• Mentor junior MLEs and 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.