Associate Dean Of Learning Teaching And Academic Quality Jobs in New Zealand

About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

About the role
Machine Learning Engineers at Shopify use extensive data to build products and create and fine-tune ML models. This has full-blown impact on merchants through first-of-their-kind financial tools, super-charged search and discovery, and novel conversion and ranking systems that connect merchants to buyers. (Phew.) There’s more: insights are shared back into Shopify and put directly into merchants’ hands in the form of highly reusable and interpretable code. This vastly improves the functionality of everything we do- making commerce smarter and more efficient for everyone.

Why you’ll love working at Shopify

• Solving complex problems at a serious scale. Dive into massive datasets (petabytes, not terabytes) and build and train models that impact millions of users worldwide.
• All-in on AI. Utilize GPU optimization, distributed clusters, and the latest ML frameworks to build groundbreaking solutions.
• Ethical by design. Machine learning can make commerce better — and runs the risk of making it worse, too. Carve out how models and algorithms embed in our product to truly support our mission.

Ready to deploy your next breakthrough model? Join the team that’s making commerce better for everyone.