ML Engineer, Infrastructure at Scale

Socket.dev; Austin (TX); On-site; USD 143,700 - 194,400; Full time

Job summary

Amazon is seeking a Machine Learning Engineer to join the AI/ML team within Infrastructure Engineering. You will partner across diverse teams to design and deploy ML solutions that improve service performance, durability, cost, and security at scale.

The role focuses on generative AI, ML software, and delivering high-quality, highly available products to millions of customers. You will collaborate with network engineers, product managers, and other stakeholders, working in a startup-like

Qualifications

• 3+ years of non-internship software development experience
• 2+ years of non-internship design or architecture experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale distributed software applications
• 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

Responsibilities

• Solve complex technical problems at every layer of the stack.
• Design, implement, test, deploy and maintain 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 reviews, and communicate with stakeholders.
• Work cross-functionally to drive business solutions with technical input.
• Work in a startup-like development environment focusing on the most important work

Skills

Software development

Design patterns

OO Design

Programming languages

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon is seeking a Machine Learning Engineer to join the AI/ML team within Infrastructure Engineering. You will partner across diverse teams to design and deploy ML solutions that improve service performance, durability, cost, and security at scale.

The role focuses on generative AI, ML software, and delivering high-quality, highly available products to millions of customers. You will collaborate with network engineers, product managers, and other stakeholders, working in a startup-like