ML Engineer: Production-Scale Generative AI Systems

Amazon; Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a talented Machine Learning Engineer in Seattle to join the AWS Applied AI Solutions team. The role focuses on bridging research and customer-facing products, delivering production-ready ML solutions that enhance customer experience.

The candidate should have a strong software development background, including experience with C#, C++, Java, or Perl, and a Bachelor's degree in a related field. Join a dynamic and innovative team committed to operational excellence.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience.
• 1+ years of software development engineer or related experience.
• 1+ years of experience designing and developing large-scale applications.
• Experience programming in at least one software programming language.

Responsibilities

• Transform research code into robust, scalable production systems.
• Own end-to-end deployment at scale of Generative AI and ML methods.
• Establish automated processes for data analysis and model development.
• Research innovative approaches for model deployment and optimization.
• Document processes for 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 to senior leadership, translating complex concepts.

Skills

C#

C++

Java

Perl

Object Oriented Design

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Job description

Amazon is seeking a talented Machine Learning Engineer in Seattle to join the AWS Applied AI Solutions team. The role focuses on bridging research and customer-facing products, delivering production-ready ML solutions that enhance customer experience.

The candidate should have a strong software development background, including experience with C#, C++, Java, or Perl, and a Bachelor's degree in a related field. Join a dynamic and innovative team committed to operational excellence.