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Machine Learning Engineer II, Products and Brands; Advertising

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Amazon
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
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 and Brands (Advertising)

Machine Learning Engineer II, Sponsored Products and Brands

Job  |  Services LLC

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how customers discover products and engage with brands across  and beyond. We are at the forefront of re-inventing advertising experiences, balancing human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

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 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. 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, directly impacting the shopping experience and helping sellers maximize ROI from advertising on Amazon. This role provides exposure to innovations in product search, information retrieval, NLP, LLM training, deep learning, and image processing. You will also mentor junior engineers and guide them to deliver high-impact products and services for Amazon customers and sellers.

  • Drive the direction of technical solutions and work on 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.
  • Collaborate with applied scientists to optimize model performance, improve ML productivity, and advance the technical foundation for science innovation.
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
  • 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
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
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 developing, deploying and managing AI products at scale

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

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest…

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