Software Development Engineer, Sponsored Products Global Optimization

Amazon Amazon · Big Tech · NY +1 · Software Development

Software Development Engineer role focused on building and optimizing AI/ML-driven optimization services and recommender systems for Amazon Sponsored Products, aiming to improve advertiser campaign performance and product discovery. The role involves designing scalable APIs, deploying ML algorithms, and optimizing models for high-throughput, low-latency production environments.

What you'd actually do

  1. Design and build highly scalable APIs and implement controls to enable partners to scale effectively
  2. Deploy advanced analytics and machine learning algorithms to automate advertisers' marketing strategies and increase sales
  3. Put Amazon's vast amount of data to work, delivering direct impact to customers and advertisers
  4. Build robust prediction services and recommendation engines capable of handling massive throughput under tight latency constraints
  5. Optimize runtime machine learning models for high-performance, low-latency production environments
  6. Develop solutions that bridge data engineering, ML, and systems design to drive advertiser success

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • state-of-art AI/ML based optimization services
  • optimize runtime machine learning models for high-performance, low-latency production environments

Other signals

  • building recommender systems
  • state-of-art AI/ML based optimization services
  • optimize runtime machine learning models