ML Engineer, Ad Identity at Scale

Amazon; New York (NY); On-site; USD 158,000 - 214,000; Full time

Job summary

Amazon is seeking a Machine Learning Engineer for its Ads Identity program to design, build, and optimize identity solutions at internet scale. You will collaborate with scientists and engineers to deploy ML models and infrastructure that supports high-volume, low-latency ad serving worldwide.

You will work across Ads workflows (40+ systems), develop end-to-end ML pipelines, and partner with product teams to deliver impactful identity products while exploring advanced AWS technologies.

Qualifications

• 3+ years of professional software development experience
• 2+ years in design or architecture of large-scale systems
• 1+ years in developing multi-tier, distributed software
• Experience with OO design and multiple languages
• Bachelor's degree or foreign equivalent in CS/Engineering/Math

Responsibilities

• Build ML-based identity solutions and scalable infra for high scale
• Collaborate with scientists to optimize ML models and deployment
• Address latency constraints across ad-serving systems
• Partner with product teams to shape technical design and plans
• Drive data-driven decisions and adopt emerging AWS tech

Skills

C#

C++

Java

Perl

OO Design

Distributed systems

Software engineering

Education

Bachelor's degree in CS/Engineering/Math

Tools

AWS

Job description

Amazon is seeking a Machine Learning Engineer for its Ads Identity program to design, build, and optimize identity solutions at internet scale. You will collaborate with scientists and engineers to deploy ML models and infrastructure that supports high-volume, low-latency ad serving worldwide.

You will work across Ads workflows (40+ systems), develop end-to-end ML pipelines, and partner with product teams to deliver impactful identity products while exploring advanced AWS technologies.