Machine Learning Engineer, Ad Response Prediction
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
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 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
Our systems and algorithms operate on one of the worlds 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.
Were 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 owners mindset and are relentlessly obsessed with delivering amazing products.
Youll 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: Youre ambitious yet humble. You recognize that theres always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
Engaged by ambiguity: Youre able to explore new problem spaces with unique constraints and thus non-obvious solutions; youre 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: Youll be a key contributor on an engineering team that delivers results. This means youll wear a lot of hats -- from software design implementation project management operations working with business partners and so on. Youll be an example of Amazons leadership principles and work to grow more leaders within your group.
Collaborate on product direction: Youll build and maintain strong relationships between engineering and partner disciplines (Product User Experience QA) to ensure that were 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. Youll 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.
- Bachelors 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
Our systems and algorithms operate on one of the worlds 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.
Were 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 owners mindset and are relentlessly obsessed with delivering amazing products.
Youll 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: Youre ambitious yet humble. You recognize that theres always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
Engaged by ambiguity: Youre able to explore new problem spaces with unique constraints and thus non-obvious solutions; youre 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: Youll be a key contributor on an engineering team that delivers results. This means youll wear a lot of hats -- from software design implementation project management operations working with business partners and so on. Youll be an example of Amazons leadership principles and work to grow more leaders within your group.
Collaborate on product direction: Youll build and maintain strong relationships between engineering and partner disciplines (Product User Experience QA) to ensure that were 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. Youll 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.
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually
Required Experience:
IC
Key Skills
About Company
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