Senior Machine Learning Engineer

Senior Machine Learning Engineer to lead GenAI UX initiatives and the GenAI-powered Venue and Arena platform for AWS customers, onsite in Seattle, WA, with a salary range of USD 193,300 to 261,500 per year and a requirement of at least 5 years of professional software development experience.

Responsibilities

• Backend integration focused on AI: connect systems to manage asynchronous data flows from large language models and other AI services.
• Performance optimization: maximize speed and responsiveness of AI driven interfaces, especially for large datasets and real-time streaming outputs.
• Own end-to-end system design, spanning backend services, APIs, data storage, and frontend integration.
• Develop and evolve GenAI powered services that enable design generation, validation, and automation workflows.
• Contribute to long term technical vision and architecture decisions.
• Balance rapid delivery with scalable, maintainable system design.
• Collaborate with internal teams to translate needs into robust technical solutions.
• Contribute to hiring efforts, mentor junior engineers, and elevate engineering standards.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience in at least one programming language
• 5+ years designing or architecting new and existing systems for reliability and scalability
• Experience as a mentor, tech lead, or leading an engineering team
• Experience with emerging generative and agentic technologies
• Experience in machine learning and data science

Technologies

• Bedrock
• Kiro
• Claude

Benefits

• Health insurance including medical, dental, vision, and prescription coverage
• Basic Life and AD&D insurance
• Supplemental life plans
• Employee Assistance Program (EAP)
• Mental health support
• Medical advice line
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement
• 401(k) with matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)

Preferred Qualifications

• Bachelor's degree in computer science or equivalent
• Experience with full software development lifecycle including coding standards, code reviews, source control, build processes, testing and operations
• Experience with agentic orchestration
• Prior experience with AWS applications is a plus
• Experience with Bedrock, Kiro, or Claude is a plus