ML & Distributed Systems Engineer for Scale Personalization

Amazon Web Services (AWS); Mountain View (CA); On-site; USD 190,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Medical insurance

Dental insurance

Vision insurance

Prescription insurance

Life & AD&D insurance

RSUs

401(k) matching

Paid time off

Parental leave

Sign-on payments

Mental Health Support

Job summary

Amazon Web Services (AWS) is seeking an architect to design and build a large-scale machine learning platform for Amazon Personalize. You will develop scalable, fault-tolerant distributed storage and query systems and operate within an agile team to deliver robust software.

The role requires 3+ years in software development and 2 years in system design/architecture, with proficiency in at least one programming language. This position offers a path to impact personalized recommendations at scale.

Qualifications

• Requires at least 3 years of professional software development experience.
• Requires 2 years of experience in system design and architecture.
• Proficiency in at least one programming language is required.

Responsibilities

• Architect and develop a large-scale machine learning platform for Amazon Personalize.
• Design and build scalable, fault-tolerant distributed storage and query systems.
• Work in an agile environment to deliver high-quality software.

Skills

Distributed Systems

Machine Learning Pipelines

Software Architecture

Deep Learning

Scalable Systems

Fault-tolerant Systems

Distributed Storage

Index and Query Systems

Agile Development

Software Development Life Cycle

Code Reviews

Source Control Management

Education

Bachelor's degree in Computer Science

Tools

Programming languages

Job description

Amazon Web Services (AWS) is seeking an architect to design and build a large-scale machine learning platform for Amazon Personalize. You will develop scalable, fault-tolerant distributed storage and query systems and operate within an agile team to deliver robust software.

The role requires 3+ years in software development and 2 years in system design/architecture, with proficiency in at least one programming language. This position offers a path to impact personalized recommendations at scale.