Machine Learning Engineer, Infra AI Solutions

Amazon; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon's Infrastructure Engineering's AI/ML team is seeking a Machine Learning Engineer to design and deploy ML solutions that improve infrastructure operations at scale. You will partner with network engineers, product managers and other developers to tackle challenging problems across the stack.

The role emphasizes generative AI, system reliability, performance and cost optimization, with opportunities to see your models deployed to millions of customers and to influence how services operate.

Qualifications

• 3+ years of professional software development experience.
• 2+ years in design or architecture of large systems.
• 1+ years in distributed or multi-threaded software.
• 1+ years of OO design experience.

Responsibilities

• Solve complex problems across stack layers with ML focus.
• Design, implement, test, deploy and maintain ML solutions.
• Build high-impact ML software for millions of customers.
• Collaborate with cross-functional teams and stakeholders.
• Review code and drive scalable infrastructure improvements.

Skills

3+ years of professional software dev

2+ years design/architecture

1+ years distributed/multithreaded

OO design experience

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon's Infrastructure Engineering's AI/ML team is seeking a Machine Learning Engineer to design and deploy ML solutions that improve infrastructure operations at scale. You will partner with network engineers, product managers and other developers to tackle challenging problems across the stack.

The role emphasizes generative AI, system reliability, performance and cost optimization, with opportunities to see your models deployed to millions of customers and to influence how services operate.