Machine Learning Engineer

Amazon.com Services LLC invites a Machine Learning Engineer to join its AWS Applied AI Solutions team. The role centers on turning research into production-ready ML and Generative AI systems, taking ownership of end-to-end deployment, and collaborating with scientists and engineers to deliver scalable, impactful solutions.

Location

Seattle, WA (onsite)

Compensation

USD 143,700 - 194,400 per year

Responsibilities

• Partner with Applied Scientists and cross-functional engineers to translate research code into robust, scalable production systems
• Own end-to-end deployment of Generative AI and ML methods at scale, ensuring reliability and performance
• Build scalable, efficient automated processes for large-scale data analysis, model development, validation, and serving
• Explore and apply innovative approaches for efficient model deployment, training, and optimization
• Document processes and methods for technical and non-technical audiences to enable knowledge transfer and establish best practices
• Contribute to code reviews and uphold high engineering standards across the team
• Mentor junior ML Engineers and participate in recruiting top talent to grow the team
• Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience focusing on design patterns, reliability, and scaling of new and existing systems
• 1+ years of software development engineer or related occupational experience
• 1+ years designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications and services 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

Technologies

• C#, C++, Java, Perl

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments and RSUs

Preferred Qualifications

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor's degree in computer science or equivalent