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Machine Learning Engineer II, Products Search Sourcing, Advertising

Job in New York, New York County, New York, 10261, USA
Listing for: Amazon
Full Time position
Listed on 2026-03-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising
Location: New York

Overview

Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising. The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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 are energized by solving complex challenges and pushing the boundaries of what s possible with AI, join us in shaping the future of advertising.

Key responsibilities
  • Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
  • Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
  • Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.
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
  • 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
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing
  • Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 .

USA, NY, New York -  -  USD annually

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