Applied Machine Learning Engineering Managers
• Remote - Americas
- Engineering & Data
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. 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. Apply tot his job Apply To this Job