Machine Learning Engineer, Ad Response Prediction

Company: Amazon
Location: Seattle
Posted on: April 3, 2026

Job Description:

About Sponsored Products and Brands 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 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. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision. As a Machine Learning Engineer at Amazon, you will drive the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own. The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight our customers. We're looking for curious and customer-obsessed software engineers who can help us take our products to the next level. We embrace leaders with a startup mentality — those who seek a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products. You'll own significant products and features from design through launch, and will work with product managers, scientists and other engineers to make your efforts successful. If this sounds like your sort of challenge, come and join our team. Key job responsibilities You are: Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. Team obsessed: You help grow your team members to achieve their results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers You will: Own technical vision and direction: You identify problems and develop solutions; you embrace performance metrics and measurement techniques because they help you assess how well system-related services are running. Build and grow your team: You'll be a key contributor on an engineering team that delivers results. This means you'll wear a lot of hats from software design, implementation, project management, operations, working with business partners, and so on. You'll be an example of Amazon's leadership principles and work to grow more leaders within your group. Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers. Lead beyond your team: You will be a key part of a small but growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You'll share your experience and technical acumen in order to drive technology decisions across our organization. Own your own shop: Our products reach hundreds of millions of customers around the world. We run operations 24x7x365 and the services your team delivers must meet high standards for operational excellence. Our teams own and operate the systems we build. - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3 years of non-internship professional software development experience - 3 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2 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 - Knowledge of machine learning model architecture and inference - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - 1 years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience - Demonstrated track record of innovative AI solution development 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Keywords: Amazon, Olympia , Machine Learning Engineer, Ad Response Prediction, IT / Software / Systems , Seattle, Washington