Machine Learning Engineer, Ad Response Prediction Job at Amazon in seattle

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 optimisation 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.

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 recognise 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 organisation. You’ll share your experience and technical acumen in order to drive technology decisions across our organisation.
• 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.

Basic Qualifications

• 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

Preferred Qualifications

• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimisation 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, personalisation 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 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, WA, Seattle – 143,700.00 – 194,400.00 USD annually

Company – Amazon.com Services LLC

Job ID: A

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