Co-op AI Platform Engineer, Faire
Winter 2026
At Faire, our co-op salaries range from $32-$52 CAD per hour
3 days a week in office
Online wholesale marketplace
Be an early applicant
Online wholesale marketplace
501-1000 employees
Be an early applicant
At Faire, our co-op salaries range from $32-$52 CAD per hour
3 days a week in office
501-1000 employees
Company mission
To empower entrepreneurs around the world to chase their dreams.
Role
Who you are
- In your last Co-op work term, you received an excellent or outstanding
- You are earning an 80%+ in your computer science courses or have shown significant improvements in grades over the course of your academic career
What the job involves
- Work Term: Winter 2026 (January 5 - April 24)
- The AI Platform team’s mission is to make machine learning and AI at Faire fast, accurate, and accessible to all
- Its goal is to enable teams at Faire to seamlessly develop and deploy a wide variety of machine learning and AI models that power Faire’s two-sided marketplace
- The team's work spans systems such as feature store, model training and fine-tuning platform, model store, model inference service, model evaluation and model monitoring
- More recently, we are also exploring the space of AI tools, agents in order to drive customer impact
- Take on the responsibilities of a full-time engineer and be treated like a permanent Faire employee from day one
- Work alongside talented engineers and engineering leaders, product managers, and designers on a daily basis to contribute to real projects with real impacts
- Be challenged to learn and grow in a fast-paced environment with supportive team members
- Own projects from scoping to shipping and see how your work directly impacts our customers and drives data-focused results
- As a member of our ML Platform team, you’ll play a crucial role in developing and enhancing Faire’s machine learning infrastructure, directly impacting our user experience and business success
- Building Essential AI and ML Tools: Create and refine tools and infrastructure to streamline the workflows of our data scientists and machine learning engineers
- Developing Scalable AI and ML Pipelines: Utilize modern tools like Airflow, AWS Batch, Spark, GPU infrastructure to build scalable machine learning pipelines for essential AI/ ML workflow components such as feature engineering, model inference etc
- Project Design and Ownership: Based on your interests and expertise, lead a significant project that advances a specific aspect of our AI infrastructure, contributing to our evolving platform
- Core Technologies: Python, Kotlin, Git, SQL, Airflow, Spark, Snowflake, Redis, DynamoDB, Terraform, AWS
- Learning Environment: We're committed to teaching and growing your skills in these technologies and beyond
- Examples of projects our team works on:
- Enabling batch model inference at scale
- Enhancing the feature store architecture and saving storage costs by optimizing the underlying data storage layer
- Streamlining model deployment processes to accelerate ML iteration and speed experimentation
Application process
- Step 1: Technical Interview (1 hr)
- Meet 1:1 with an experienced ML engineer to
- Discuss your ML work experience and background. Be prepared to do a technical deep dive into a past machine learning project of yours. Bonus if it leans towards ML Ops or ML infrastructure but not a requirement!
- Work through a pair programming exercise together. Use this CodeSignal link to prep for the technical interview (this is entirely optional)
- If you’re selected to advance beyond the technical interview, our Talent Team will follow up with you via email to invite you to:
- Step 3: Phone Call with Recruiter (15 mins)
- Chat 1:1 with a Faire recruiter to get your questions answered. Our recruiter will also share some additional details, including what to expect in terms of compensation
- About our work model
- This role will be in-office on a hybrid schedule. Starting January 13, 2026, all office employees will be expected to come into the office every Tuesday, Thursday, and an Employee-chosen 3rd in-office day (Monday, Wednesday, or Friday). Co-op interns must be aligned with the Kitchener-Waterloo or Toronto offices and live within a 56 km radius of one of the offices
- Application Documents Required: Résumé; we don't require a cover letter, but please make it easy for us to see any experience you have with Machine Learning in your resume.
Our take
Faire is a company that helps retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to tens of thousands of brands across the globe.
In addition to a large catalog, the company attracts smaller retailers by offering net 60-day terms and free returns to boost confident buying at unpredictable times. Faire has seen impressive growth, reporting 300% year-on-year volume growth and a valuation of over $12.6B following its most recent tranche of funding from Shopify.
This investment is funding its continuing expansion into European and Australian markets, while accelerating product development, focusing on its OS for wholesale. It is also hiring talent globally as it takes aim at becoming a kind of Amazon for local and indie brands that want to sell globally.
Steph
Company Specialist at Welcome to the Jungle
Insights
109% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
May 2022
$416m
SERIES G
Nov 2021
$400m
SERIES G
Total funding: $1.5bn
Company benefits
- Comprehensive healthcare
- All of our offices have been designed with local in mind—from our architects to our coffee blends
- Paid vacation time, holidays, and company-wide “Faire Fundays.”
- Including a monthly credit toward your wellness-related programs
- Generous parental and family leave, as well as fertility support benefits
- Including free access to Modern Health therapists and resources
- Faire will match up to US$250 of your charitable donations, every year
- Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore
Leadership
Max Rhodes
(CEO)Was previously an Advisor at Blunt Umbrellas and Director of Consumer Product at Square.
Daniele Perito
(Advisor)Former Director of Security and Risk Engineering at Square, prior to co-founding Faire.
Marcelo Cortes
(CTO)Previously a Senior Software Engineer at Google. Before that, co-founded FreePoint Inc.
Jeff Kolovson
(COO)Was Operations Lead at Square. Before that was a Business Analust for McKinsey and Co.
Salary benchmarks
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