Full Job Description
The Role
We're seeking a talented Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment
architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team.
What You'll Do
• 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, machine learning model development, model validation and serving
• Research and implement innovative approaches for efficient model deployment, training, and optimization
• Document processes and methods for both technical and non-technical audiences, ensuring knowledge transfer and best practices
• Contribute to code reviews and maintain high engineering standards across the team
• Mentor junior MLEs and actively participate in recruiting top talent to grow
the team
• Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 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
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually