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.

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

First things first

We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below: I care deeply about what I do I am always seeking new (sometimes uncomfortable) growth I thrive on change in an ambiguous environment I get shit done and can keep pace to ship weekly I want to work remotely for my daily work I have a history of being resilient and resourceful I want to make commerce better for everyone It looks like you might not be a great fit for Shopify at this time — while we encourage everyone to apply, we are looking for someone who can meet all these criteria.

Application

Required Name Email Location Start typing and select a location from the dropdown. Resume Linkedin Profile Alternative Link If you've contributed to the largest open-source projects, optimized systems to handle unprecedented traffic, or developed game-changing algorithms, we want to know about it. Link your highlights and skip the resume. Message to hiring manager: Which track are you interested in pursuing with Shopify?

• Individual Contributor
• People Manager

How many years of hands-on ML modeling and development do you have? (Not including academic experience or internships)*

• 0-4 years
• 5-7 years
• 8-10 years
• 11+ years

How would you describe your comfort with Object Oriented Programming?*

• I am still learning but with support can code in OOP
• I work more efficiently in another type of programming
• I am comfortable and confident I would do well in an Object Oriented Pair Programming interview
• I am an expert

What parts of the Model Development Lifecycle have you managed?*

• Problem definition, data collection and training
• Research, feature engineering tuning, training, deployment, maintenance
• Tuning, training, interpretation and production

As an ML Engineer, how would you describe your experience on projects?*

• I haven't led a project yet but I've contributed to tasks assigned to me and learned from the process.
• I've led a small project or part of a larger project from start to finish.
• I've led multiple projects across teams/stakeholders accountable for success.
• I've led high-stakes projects spanning multiple stakeholders/disciplines/complexities.

As an ML Engineer how would you describe your approach to mentorship?*

• I'm still learning so focus more on absorbing knowledge myself.
• I'm comfortable but rely on experienced engineers for complex problems.
• I mentor others promoting culture of learning/growth within organization.
• I mentor others playing role increasing technical competencies at org level.

What are trends in ML that you are following or have experimented with on your own? Describe impact you've had on company/customers at current/most recent role. Give example of an ML project that you led specifying parts done by yourself. Which models are you comfortable using to determine feature importance? Linear Regression Decision trees Deep Learning All of the above Do you now or in future require sponsorship to work in country of employment? Please confirm you've read/agreed candidate NDA Please confirm you've read applicant privacy notice

Work with us in your early career

Dev Degree Program

A 3–4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into tech field. Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships open to students/recent graduates/those early in careers. Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program designed to help gain skills needed for product management career. Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates/career switchers/those early in design careers. Learn more about our Design Apprentice Program