---
title: 'Machine Learning Engineering, Intern at Bree'
canonical: 'https://feeny.ai/job/machine-learning-engineering-intern-bree-toronto-gbzan44mebmc'
type: 'job'
last_seen: '2026-09-11'
---

# Machine Learning Engineering, Intern at Bree

- **Company:** Bree
- **Location:** Toronto, Canada
- **Employment:** internship
- **Work type:** hybrid
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/bree/5e79b2fd-164c-4e72-91ef-1b8fd1c5518a

## Job description

## About Bree

Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck. More than 800,000 Canadians have already signed up with Bree and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.

## About the Role

We’re looking for a Machine Learning Engineering Intern to work alongside our ML, data, and infrastructure teams. You’ll contribute to real modelling and data problems, learn how production ML systems are evaluated and monitored, and use AI tools thoughtfully to move from experimentation to reliable implementation. This is an 8-month co-op term. At Bree, co-ops are full members of the Engineering team. You’ll work on the same customer and business problems as full-time engineers, ship real production work, and take part in design discussions, code reviews, testing, and releases. We pair that responsibility with close mentorship, clear context, and projects scoped for you to make a meaningful impact from day one.

## What You'll Do

- Help prepare, explore, and validate data used in models and analytical workflows.
- Support training and evaluation of models used for areas such as credit risk, fraud detection, and customer experience.
- Build scripts, tools, and tests that make experimentation and model evaluation more repeatable.
- Learn how model performance is monitored in production, including data quality, drift, and operational reliability.
- Explore new approaches with mentorship, then clearly document results, tradeoffs, and next steps.

## What You'll Need

- Currently enrolled in a Computer Science, Statistics, Engineering, Data Science, or related post-secondary programme, and available for the full 8-month term.
- Strong Python foundations, plus experience working with data through coursework or projects. Familiarity with SQL, pandas, or similar tools is helpful.
- Foundational knowledge of statistics and machine learning concepts, with coursework, research, personal projects, or competitions you can discuss.
- Interest in tools such as PyTorch, LightGBM, or modern LLM workflows. Production ML experience is not required.
- Curiosity, rigour, and strong communication. You enjoy investigating ambiguous problems, checking your assumptions, and learning from feedback.

## Benefits

- Compensation: $50-$70/hour, based on experience and interview performance
- Offer Matching: We're open to matching competing offers
- Perks: $250 monthly lunch stipend, bi-annual company retreat
- Impact: Push to prod, with 10x the ownership and impact of typical roles
- Growth: Mentorship programs and career training sessions
- Path to Full-Time: Strong conversion opportunities for high performers

## About Bree

## Company Overview
- **One-liner**: Bree is a Canadian consumer finance platform that provides interest‑free cash advances (up to $750) along with a budgeting tool and financial wellness content to help people avoid overdraft fees.
- **Entity Type**: Private (backed by Y Combinator S21; venture‑funded)
- **Headquarters**: Toronto, Ontario, Canada (also offices in Vancouver, BC; United States; Philippines; Vietnam)
- **Founded**: 2021
- **Founders**: Adam Kang and Alexander Li

## Core Business
- **Primary industry**: Consumer finance / Fintech
- **Target customers**: B2C – Canadians living paycheck‑to‑paycheck, especially those at risk of overdraft
- **Mission/purpose statement**: “To help Canadians move towards financial wellness” with no interest, no mandatory fees, and a community‑supported model.

## Products & Services
- **Cash Advance (Flagship)**: Interest‑free cash advances from $20 up to $750, with 0% APR. No mandatory fees or interest; users choose an optional tip. Repayment is triggered on the next payday (minimum 1 day, maximum 90 days). Offers overdraft protection.
- **Budgeting Tool**: Included in the optional monthly membership ($2.99/month after a 1‑month free trial). Provides financial insights and spending tracking.
- **Weekly Newsletter**: Financial wellness content sent to subscribers.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 400,000 consumers have signed up since 2021 (source: LinkedIn)
- **Notable Investors/Partners**: Y Combinator (S21 batch), plus other venture capital firms and angel investors.
- **Growth Signals**: Headcount grew 54.2% YoY to 31 employees (LinkedIn). Active job postings increased 140% year‑over‑year. Expanding into new roles across engineering, product, and operations.

## Competitive Advantages
- **No‑interest, no‑fee model**: Differentiates from payday lenders and traditional overdraft services. Users only tip if they choose, keeping the service affordable.
- **Community‑supported ethos**: “Pay it forward” culture – tips from users keep the service running, aligning incentives with customer well‑being.
- **Simple, fast access**: Sign up and get approved in minutes; integrated with payroll for automatic repayment.
- **Strong early traction**: 400,000+ users in a large addressable market (20M+ Canadians living paycheck‑to‑paycheck).

## Strategic Focus
- **Product expansion**: Bree positions itself as “Chime for Canada” – aiming to become a full‑service digital banking alternative. Current hiring includes ML engineers for underwriting and product managers for new features.
- **Growth**: Scaling engineering and AI capabilities (e.g., Machine Learning Engineer, Underwriting) to improve credit decisioning and personalisation.
- **Geographic reach**: Currently Canada‑focused but has remote teams in the US, Philippines, and Vietnam, suggesting interest in global talent and possibly future international expansion.

## Why Work Here
- **Culture & mission**: “Customer First” and “Trust” are core values. The company aims to replace predatory payday loans with a fair, transparent service.
- **Engineering environment**: Tech stack includes modern tools (React Native, Python, Kubernetes, AWS, Snowflake, PyTorch). Teams are cross‑functional and agile.
- **Growth opportunity**: Rapid headcount growth (54% YoY) and a startup stage (Series unknown, but YC‑backed) means employees can have outsized impact.
- **Work policy**: Hybrid/remote options – roles are listed as remote (US/Canada) or Toronto/ Vancouver. Flexible working arrangements.
- **Compensation**: Salaries for engineering roles range from roughly $130K–$230K CAD (per YC job listings), competitive for Canadian fintech.
- **Benefits**: Optional $2.99/month membership for premium budgeting features; otherwise no mandatory fees. Perks mentioned: free trial, community support model.

## Sources
1. [trybree.com](https://www.trybree.com/)
2. [trybree.com/about](https://www.trybree.com/about)
3. [linkedin.com/company/breetechnologies](https://ca.linkedin.com/company/breetechnologies)
4. [ycombinator.com/companies/bree/jobs](https://www.ycombinator.com/companies/bree/jobs)
5. [ashbyhq.com/bree](https://jobs.ashbyhq.com/bree)

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