Machine Learning Engineer, Ad Response Prediction
Posted 5 hours ago
Job Description
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.
What we do:
- Re-invent advertising experiences by bridging human creativity with artificial intelligence
- Transform every aspect of the advertising lifecycle — from ad creation and optimization to performance analysis and customer insights
- Develop responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace
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 deliver highly relevant ads and continuously improve the customer search and detail page experiences.
As a Machine Learning Engineer, you will:
- Drive the technical direction of our offerings across the Sponsored Products organization
- Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
- Work closely with applied scientists to optimize ML model performance and infrastructure
- Implement end-to-end solutions — what you create is what you own
We're looking for curious, customer-obsessed engineers with a startup mentality — those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products.
Key job responsibilities
You will:
- Own technical vision and direction — Identify problems, develop solutions, and embrace performance metrics to assess system health
- Build and grow your team — Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
- Collaborate on product direction — Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
- Lead beyond your team — Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
- Own your own shop — Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
You are:
- Highly analytical — You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Team obsessed — You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
- Humbitious — Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity — You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
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.
What we do:
- Re-invent advertising experiences by bridging human creativity with artificial intelligence
- Transform every aspect of the advertising lifecycle — from ad creation and optimization to performance analysis and customer insights
- Develop responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace
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 deliver highly relevant ads and continuously improve the customer search and detail page experiences.
As a Machine Learning Engineer, you will:
- Drive the technical direction of our offerings across the Sponsored Products organization
- Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
- Work closely with applied scientists to optimize ML model performance and infrastructure
- Implement end-to-end solutions — what you create is what you own
We're looking for curious, customer-obsessed engineers with a startup mentality — those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products.
Key job responsibilities
You will:
- Own technical vision and direction — Identify problems, develop solutions, and embrace performance metrics to assess system health
- Build and grow your team — Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
- Collaborate on product direction — Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
- Lead beyond your team — Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
- Own your own shop — Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
You are:
- Highly analytical — You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Team obsessed — You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
- Humbitious — Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity — You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
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.
Amazon
174 jobs posted
About the job
Similar Jobs
29d
Machine Learning Engineer
Motorola Solutions
$120K - $160KLos Angeles, CAMachine Learning Engineer
Motorola Solutions
$120K - $160KLos Angeles, CA29d24d
Machine Learning Engineer
Reddit
RemoteRemote - Ontario, CanadaMachine Learning Engineer
Reddit
RemoteRemote - Ontario, Canada24d24d
Machine Learning Engineer
Reddit
Remote$186K - $260KUnited StatesMachine Learning Engineer
Reddit
Remote$186K - $260KUnited States24d24d
Machine Learning Engineer
Wix
Kyiv, UAMachine Learning Engineer
Wix
Kyiv, UA24d18d
Machine Learning Engineer
Twilio
Remote$139K - $173KUnited StatesMachine Learning Engineer
Twilio
Remote$139K - $173KUnited States18d
14dMachine Learning Engineer
PlayStation
United Kingdom
Machine Learning Engineer
PlayStation
United Kingdom14d7d
Machine Learning Engineer
Calendly
Remote$203K - $245KUnited StatesMachine Learning Engineer
Calendly
Remote$203K - $245KUnited States7d6d
Machine Learning Engineer
Reddit
RemoteRemote - Ontario, CanadaMachine Learning Engineer
Reddit
RemoteRemote - Ontario, Canada6d6d
Machine Learning Engineer
Reddit
Remote$186K - $260KUnited StatesMachine Learning Engineer
Reddit
Remote$186K - $260KUnited States6d7d
Machine Learning Engineer
Workday
$143KUSA, COMachine Learning Engineer
Workday
$143KUSA, CO7d
AI jobs in your inbox
Get the latest AI jobs delivered to your inbox every week. Free, no spam.