Applied Machine Learning Engineers

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Applied Machine Learning Engineers

• Remote - Americas
• Engineering & Data

About the role

At Shopify, our Applied Machine Learning Engineers tackle the most challenging technical problems in commerce. By leveraging vast datasets and cutting-edge machine learning technologies, like multimodal LLMs, embeddings, etc., you will develop ways that redefine how merchants connect with buyers. Your work will empower merchants with advanced tools and systems that enhance search, discovery, and agents at a global scale.

As an Applied Machine Learning Engineer, you will work with petabyte-scale data and utilize state-of-the-art ML methods to build and deploy models that serve millions of users. You'll be at the forefront of AI innovation, using technologies including LLM posttraining, reinforcement learning, and model quantization, to redefine what’s possible in e-commerce.

Key Responsibilities

• Analyze and interpret large-scale datasets to drive model development and optimization.
• Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products.
• Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions.
• Stay current with the latest advancements in machine learning technologies and frameworks.
• Document and share technical insights and best practices across teams.

Qualifications

• Extensive experience in building and deploying machine learning models at scale.
• Proficiency in using ML framework (e.g., TensorFlow, PyTorch) and programming languages like Python.
• Strong analytical and problem-solving skills in solving real-world product problems.
• Excellent communication skills and the ability to work in a fast-paced, collaborative environment.

Ready to deploy your next breakthrough model? 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

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
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now