Jobs · Engineering

Applied Machine Learning Engineering Internships Winter 2027 (Americas)

Shopify · NAMER · 3 wk ago
RemoteRemoteEngineering$103k–$111k/yrVolunteer

About The Role

Applied Machine Learning Engineers at Shopify tackle the most challenging technical problems in commerce. They work with petabyte-scale data and utilize state-of-the-art ML methods to build and deploy models that serve millions of users. As a Machine Learning Intern, you'll be at the forefront of AI innovation, using technologies such as LLM posttraining, reinforcement learning, and model quantization, to redefine what's possible in e-commerce.

Working at Shopify

You must be legally entitled to work in the location you are applying to for the entire duration of the winter internship term (January 11 - April 30 2027). Shopify does not provide immigration support to intern candidates. This internship is a 4 month long, full-time, paid experience - interns are expected not to be enrolled in school full-time while working at Shopify.

As an Intern you must be able to work from one of our offices:

  • Canada: Montréal, Québec (490 Rue De la Gauchetière O); Ottawa, Ontario (151 O'Connor Street); Toronto, Ontario (620 King West)
  • USA: Bellevue (1100 112th Ave NE, Bellevue, WA 98004); New York (85 10th Ave, New York City, New York 10011)

Please note: if you don't currently live in one of the above cities, you must be willing and able to relocate for in-office experiences at one of these offices. If successful in your application, we will match you to a team when you start at Shopify. We're unable to accommodate requests for particular teams and location changes once an offer is signed.

Onboarding

Interns must be located in their office city by the first day of onboarding and be ready to work 9:00am - 5:00pm. Interns cannot work from outside of the country they are hired in during their internship.

Qualifications

  • You love challenging yourself with projects or hacking just for fun
  • You are a constant learner
  • You have a passion for solving tough problems with code
  • You take ownership of the projects you work on
  • You enjoy research and figuring out how pieces of an entire project work
  • You take pride in creating simple solutions to complex problems
  • You have a strong commitment to quality

Compensation

This role currently has a base pay range of USD $103,000 to $111,000 for US locations and CAD $88,000 to $96,000 for Canada per annum, based on a candidate's experience and qualifications. Interns also receive a monthly allowance of USD $1,000 (US) or CAD $1000 (Canada) to use however best supports them during their internship.

Additional Information

In your application: Include your resume; answer all of the application questions. Once you submit your application, and if you move forward in our process, you'll then be emailed a series of mandatory assessments to complete. These will help assess your technical skills and your likelihood of success at Shopify.

Applications will close on August 14th at 11:59pm EDT.

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.

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. 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.

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