Design for Testability Engineer, SSG

Description
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

We are looking for a Machine Learning Engineer II who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search. You will build services to handle billions of requests per day, while maintaining response latency in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would ensure relevant ads are served to Amazon's customers. You will directly impact our customers' shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role

Basic Qualifications

• 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
• Experience programming with at least one software programming language
• Experience building complex software systems that have been successfully delivered to customers

Preferred Qualifications

• Master's degree in Electrical or Communications Engineering or a related field
• Experience with formal verification techniques including abstraction and end-to-end checking
• Experience with ARM and various DSP ISAs
• Experience with industry standard tools and scripting languages (Python or Perl) for automation

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Company
- Services LLC

Job ID: A