Machine Learning Engineer, OIS-Core Engine

About the role

Join Amazon Infrastructure Engineering's AI/ML team to design and deploy innovative ML solutions that transform how businesses operate at scale. Our team partners across diverse groups—from network engineers to product managers—to identify and solve the most impactful technical challenges. We're focused on leveraging machine learning to improve service performance, durability, cost, and security across our systems.

Responsibilities

• Solve complex technical problems, often ones not solved before, at every layer of the stack.
• Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
• Build high-impact ML solutions to deliver to our large customer base.
• Build high-quality, highly available, always-on products.
• Research implementations that deliver the best possible experiences for customers.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business solutions with your technical input.
• Work in a startup-like development environment, where you’re always working on the most important stuff.

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