Machine Learning Engineer, Ad Response Prediction

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  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  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.

Basic Qualifications

- 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…