Engineering & Data at Shopify

About the role

Welcome to Shopify's engine room of innovation. As an Applied Machine Learning Engineering Manager, you will lead teams in crafting groundbreaking ML solutions that redefine connections between millions of merchants and buyers. Your role is to guide ML engineers in making strategic decisions that advance LLMs, agents, and address large-scale real world problems. With a focus on developing extensive models, enhancing search, refining recommendations, and personalizing experiences, your leadership will transform what's currently considered possible in the space of AI-driven commerce.

Key Responsibilities:

• Lead teams to design, refine, and deploy ML models that revolutionize commerce solutions.

• Spearhead initiatives integrating LLMs, agents, and multimodal models into Shopify’s ecosystem.

• Apply machine learning techniques to real world problems by enhancing optimized search and personalized recommendations.

• Cultivate a collaborative culture emphasizing technical excellence, learning, and innovation.

Qualifications:

• Extensive experience managing teams to implement large-scale ML models.

• Proficiency in TensorFlow or PyTorch, and strong Python skills.

• Proven problem-solving skills in complex, real-world product environments.

• Excellent communication skills with a track record of thriving in dynamic settings.

Ready to lead on the bleeding edge of AI? 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, coming prepared with your own IDE.

This role may require on-call work.