Software Engineer - ML & Generative Ads Platform

Amazon

Seattle (WA)

On-site

USD 144,000 - 194,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Parental leave
RSU stock awards

Job summary

Amazon Development Center U.S., Inc. seeks a curious, customer-obsessed engineer to advance ML capabilities for Sponsored Products and Brands. You will design and scale ML pipelines, work with researchers, and own end-to-end solutions in a fast-paced environment.

Join a team pushing the boundaries of AI, balancing innovation with responsible deployment, and delivering products that improve relevance and shopping experiences across Amazon’s advertising ecosystem.

Qualifications

  • 3+ years of professional software development experience.
  • Experience across the full software development lifecycle (SDLC).
  • 2+ years designing and developing large-scale distributed systems in languages like C#, C++, Java, or Perl.
  • Knowledge of machine learning model architecture and inference.

Responsibilities

  • Drive the technical direction of ML offerings across the Sponsored Products organization
  • Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
  • Work closely with applied scientists to optimize ML model performance and infrastructure
  • Implement end-to-end solutions—what you create is what you own

Skills

Software development
SDLC process
ML knowledge

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

C#
C++
Java
Perl
JAX
PyTorch
vLLM
SGLang
Dynamo
TorchXLA
TensorRT

Job description

Amazon Development Center U.S., Inc. seeks a curious, customer-obsessed engineer to advance ML capabilities for Sponsored Products and Brands. You will design and scale ML pipelines, work with researchers, and own end-to-end solutions in a fast-paced environment.

Join a team pushing the boundaries of AI, balancing innovation with responsible deployment, and delivering products that improve relevance and shopping experiences across Amazon’s advertising ecosystem.

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