Bree

HQ
Quatro Barras
Total Offices: 2
30 Total Employees
Year Founded: 2021

Jobs at Bree

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Recently posted jobs

17 Days AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Software • Financial Services
Own full-cycle technical recruiting for engineering and product roles: source passive candidates, build scalable hiring processes (with AI), manage candidate experience, provide data-driven talent insights, and strengthen employer brand.
19 Days AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Software • Financial Services
As a Product Engineer at Bree, you will build full-stack features using a TypeScript/Node serverless stack and React Native, focusing on delivering value quickly and iteratively. You’ll collaborate closely with design and product teams to enhance customer outcomes while managing engineering tradeoffs effectively.
19 Days AgoSaved
Remote
BRA
Fintech • Software • Financial Services
Design, develop, and deploy machine learning pipelines. Implement MLOps practices and optimize models. Collaborate on data pipelines and cloud deployment.
19 Days AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Software • Financial Services
The Senior Product Designer will lead end-to-end design efforts for Bree's mobile and web products, collaborating with teams to ensure usability and improve user experience.
19 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Fintech • Software • Financial Services
As a Creative Strategist, you'll draft production-ready briefs, manage ad projects, source creators, and collaborate on creative performance insights while maintaining brand guidelines.
19 Days AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Software • Financial Services
As Creative Lead, Growth, you will manage a creative team and use data to drive performance in paid social campaigns, ensuring high-quality outputs and effective creative strategies.
19 Days AgoSaved
Remote or Hybrid
Canada
Fintech • Software • Financial Services
The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.
One Month AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Software • Financial Services
Work on designing, training, and deploying scalable ML models for credit risk, fraud detection, and personalization. Build ML pipelines for low-latency inference, automate experimentation and hyperparameter tuning, support full ML lifecycle (feature engineering, evaluation, A/B testing, monitoring for drift), and experiment with deep learning and reinforcement learning techniques while ensuring compliance and scalability in a fast-growing FinTech.