Machine Learning Engineer - Ads

Great advertising connects merchants with customers who genuinely need what they're selling. As a Machine Learning Engineer focused on Ads, you'll build the targeting and personalization technology that makes these meaningful connections happen at scale. You'll develop sophisticated machine learning models that help merchants reach the right audience at exactly the right moment, creating advertising experiences that drive real business growth while respecting the customer experience.

Key Responsibilities:

• Develop and optimize advanced machine learning models for ad targeting and personalization systems
• Analyze comprehensive ad performance data to identify optimization opportunities and maximize ad spend efficiency
• Collaborate closely with advertising teams to integrate ML solutions seamlessly into our ad platform
• Research and implement innovative algorithms and tools to enhance ad relevance and effectiveness
• Document technical insights and share best practices across engineering teams

Qualifications:

• Extensive experience building and deploying machine learning models for advertising systems at scale
• Strong proficiency in ML frameworks including TensorFlow or PyTorch, with expert-level Python programming skills
• Proven analytical skills for processing and extracting insights from large-scale datasets
• Demonstrated problem-solving abilities and innovative thinking in ad technology solutions
• Solid familiarity with ad platforms, A/B testing methodologies, and data-driven decision making processes
• Experience with statistical methods and performance optimization for ML systems

Ready to connect merchants with their perfect customers? Join the team that's making commerce better for everyone.

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.

This role may require on-call work*

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