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Added 17 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
Added 17 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
Added 5 months ago
Founding Engineers
Career Mentors, LLC
Remote, Canada
$150,000 to $450,000 USD / year
Contract · Remote
Added 5 months ago
Chercheur Principal - Chimie Computationnelle / Principal Scientist - Computational Chemistry
Sygnature Discovery
Montreal, Quebec
Full-time
Added 5 months ago
Junior Environmental Scientist or EIT
Stantec
Burnaby, BC
Full-time
Added 1 month ago
Metallization Scientist - Rare Earth Elements
Cyclic Materials Inc.
Kingston, ON
Added 5 months ago
Chief Scientist - Physical AI
Huawei Technologies Canada Co., Ltd.
Ottawa, ON
Full-time
Huawei Canada has an immediate permanent opening for a Chief Scientist.
Added 5 months ago
Chief Scientist - Physical AI
Huawei Technologies Canada Co., Ltd.
Montreal, Quebec
Full-time
Huawei Canada has an immediate permanent opening for a Chief Scientist.
Added 5 months ago
Senior Machine Learning Engineer
Loblaw Companies Limited
Toronto, Ontario
Full-time
Added 5 months ago
Senior Environmental Scientist
Montrose Environmental Group
Edmonton, Alberta · Grande Prairie, Alberta · Lloydminster, Saskatchewan · British Columbia · Saskatchewan
Full-time
Added 5 months ago
Senior Machine Learning Engineer
BDO
Vancouver, British Columbia · Oakville, Ontario · Ottawa, Ontario · Toronto, Ontario
Full-time
Added 5 months ago
Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, Ontario
Added 5 months ago
Machine Learning Engineer
TD
Remote, Canada
Full-time · Remote
Added 5 months ago
Research Scientist
Frontage Laboratories
Vancouver, British Columbia
$65,000 to $90,000 CAD / year
Full-time
Job Title: Research Scientist, DMPK (Regular, full-time)
Added 5 months ago
Research Scientist
OTI Lumionics Inc.
Mississauga, Ontario
Full-time
Added 5 months ago
Data Scientist
Reflow
Remote, Canada
Full-time · Remote
We need a Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users. This role sits at the…
Added 4 months ago
Junior/Intermediate Environmental Scientist or Technologist
Montrose Environmental Group
Swift Current, Saskatchewan · CAN-Saskatchewan-Swift Current
Full-time
Added 5 months ago
Director of Applied Learning
Raising The Village
Remote, Canada
Full-time · Remote
Raising The Village’s mission is to build and strengthen pathways out of ultra-poverty through an approach guided by data, designed with communities, and scaled by partnerships. We work…
Added 1 month ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and m
Added 16 days ago
Machine Learning Engineer (Staff & Principal)
Tubi - Canada
Toronto, ON
Added 5 months ago
Junior Environmental Technologist/Scientist
Montrose Environmental Group
Calgary, Alberta · CAN-Alberta-Calgary
Full-time
Added 5 months ago
Member of Technical Staff - System Engineering
Phylo, Inc.
Toronto, ON
$200,000 to $300,000 USD / year
Full-time
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical…
Added 5 months ago
Senior / Staff Software Engineer, Mapping
Waabi
Toronto, ON
$141,000 to $242,000 USD / year
Full-time
Added 6 months ago
AI Research Scientist, FAIR | Chercheur(se) en IA, FAIR
Meta
Montreal, Quebec
Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. Come join FAIR's efforts to build…
Added 6 months ago
Machine Learning Engineer
Bree
Remote, Canada
$180,000 to $250,000 CAD / year
Full-time · Remote

Bree

Machine Learning Engineer

Remote, Canada

Pay: $180,000 to $250,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Apr 1, 2026

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Original job description

About Bree

Bree is a consumer finance platform building faster, simpler, and more affordable financial services for Canadians who often live paycheck to paycheck. We operate in a massive market that’s historically been underserved by traditional financial institutions, and we’re building products that help customers access short-term credit with a transparent, user-first experience.

To date, 800,000+ Canadians have signed up for Bree - and we believe we’re still early. We’re at an exciting intersection of product-market fit, rapid growth, and a clear path to becoming one of the most important fintech companies in Canada.

We were part of Y Combinator (Summer 2021) and raised a $2M seed round shortly after.

About the Role

We’re looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You’re passionate about deploying AI solutions, optimizing performance, and driving measurable results. Your work will power critical decisions and shape the future of our technology.

What You'll Do

Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.
Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.
Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.
Apply machine learning design patterns to build modular, reusable, and production-ready models.
Collaborate with data engineers to develop high-performance data pipelines for training and inference.
Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.
Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.

What You'll Need

Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.
Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for tracking experiments and automating workflows.
Hands-on experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL).
Knowledge of cloud-based ML deployment and infrastructure management.
Ability to implement real-time and batch inference pipelines efficiently.
Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.
Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.

Benefits:

💰Top of the market compensation for top performers

⚕️Comprehensive health, dental, and vision benefits plan

🖥 $1,500 annual learning & home-office stipend

🧘🏼 $1,000 annual wellness stipend

🍔 Monthly Lunch Stipend

🚗 Commuter Benefits

🚼 Paid Parental leave

🏝 20 annual PTO days + unlimited sick days

🚀 Quarterly Team Gatherings

☕ In Office Amenities

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More about this job

Responsibilities

The Machine Learning Engineer will design, develop, and deploy end-to-end machine learning pipelines while ensuring efficiency in training, validation, and inference. They will also implement MLOps best practices and collaborate with data engineers to develop high-performance data pipelines.

Requirements

Candidates should have proficiency in Python and familiarity with machine learning libraries, along with a strong understanding of machine learning algorithms. Experience with MLOps tools and hands-on experience with data manipulation libraries and databases is also required.

Skills

Python
Machine Learning
MLOps
Data Manipulation
Cloud Deployment
Feature Engineering
Hyperparameter Tuning
SQL
Pandas
NumPy
Docker
Kubernetes
Scikit-learn
LightGBM
PyTorch
Bias Detection

Benefits

Comprehensive Dental
Vision
Annual Learning Stipend
Annual Wellness Stipend
Monthly Lunch Stipend
Company Retreats
Parental Leave
Unlimited PTO

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Python
Scikit-learn
LightGBM
PyTorch
Data Manipulation
Pandas
NumPy
SQL
NoSQL
Cloud Platforms
AWS
GCP
Azure
Docker
Kubernetes
Model Versioning
Monitoring
Retraining Strategies
Feature Engineering
Hyperparameter Tuning
Scalable Inference
Continuous Monitoring
Bias Detection
Explainability Techniques
CI/CD
Structured Data
Unstructured Data
Real-time Inference

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