Machine Learning Engineer, Ad Response Prediction
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Role details
Tech stack
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Job description
Build the machine learning pipelines and online serving systems that match shoppers with advertised products across one of the worldβs largest product catalogs, with a high relevance bar and strict latency limits. Your work will directly shape the ads hundreds of millions of customers see in Amazon search results and on detail pages around the world.
Youβll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. Youβll deliver solutions end to end, then run them to the operational standards needed for services that are always on and used around the globe., * Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits
- Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production
- Deliver ML features end to end: system design, implementation, testing, deployment and operations
- Identify problems, propose solutions and use performance metrics to track system health and model quality
- Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers
- Work with Product, UX, QA and other engineers to build the right product for customers
- Mentor peers and share technical knowledge through design and code reviews
Requirements
- 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 software development engineer or related occupational 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, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelorβs degree in computer science or equivalent
Benefits & conditions
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
About the company
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com 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 youβre energized by solving complex challenges and pushing the boundaries of whatβs possible with AI, join us in shaping the future of advertising.
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