Jobs in Canada

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Added 16 hours ago
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Senior / Staff Software Engineer, Mapping
Waabi
Toronto, ON
- $141,000 to $242,000 USD / year
- Full-time
- Hybrid
…intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven…
Added 16 hours ago
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Senior / Staff Software Engineer, Localization
Waabi
Toronto, ON
- $141,000 to $242,000 USD / year
- Full-time
- Hybrid
…where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems…
Added 16 hours ago
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Research Engineer, World Models
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
- Hybrid
…scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can…
Added 16 hours ago
Senior Software Engineer
Greenhouse
ON
Greenhouse is searching for a Senior Full Stack Engineer to join our Employer Experience & Talent Discovery team. This team builds the experiences and signals that help employers find the…
Added 16 hours ago
Senior Software Engineer
Greenhouse
BC
Greenhouse is searching for a Senior Full Stack Engineer to join our Employer Experience & Talent Discovery team. This team builds the experiences and signals that help employers find the…
Added 16 hours ago
Principal Hardware Applications Engineer – PCIe Switches (Scorpio)
Astera Labs
Vancouver, BC
…accelerators at rack scale. As a Principal Product Applications Engineer on the Scorpio team, you will be the technical face of our switching portfolio to the world's leading hyperscalers,…
Added 16 hours ago
Principal FW/SW Engineer
Astera Labs
Toronto, ON
Principal Engineer – Embedded Firmware & Software
Added 16 hours ago
Sales Operations Engineer
Archera
Québec, QC
As a Sales Operations Engineer, you own the systems and automations behind Archera's Channel Partner and AWS Alliances teams. You will build and maintain the workflows in n8n and Salesforce…
Added 16 hours ago
Forward Deployed Engineer
Archera
Québec, QC
As a Forward Deployed Engineer, you sit where Archera's platform meets the field. This is an engineering role: you will write code, build integrations against partner and hyperscaler APIs,…
Added 16 hours ago
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Machine Learning Engineer
Bree
Toronto, ON
- $180,000 to $250,000 CAD / year
- Full-time
- Hybrid
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…
Added 16 hours ago
Staff Quality Engineer
StackAdapt
Canada
StackAdapt is seeking a talented Staff Quality Engineer to join the Automation and Intelligence Pillar pod, the group building StackAdapt's AI and agentic products. As the most senior…
Added 16 hours ago
Senior Quality Engineer
StackAdapt
Canada
StackAdapt is seeking a talented Senior Quality Engineer who is passionate about software quality and test automation to be part of a highly impactful team that will directly affect the…
Added 16 hours ago
Quality Engineer
StackAdapt
ON
StackAdapt is seeking a talented Quality Engineer who is passionate about software quality and test automation to be part of a highly impactful team that will directly affect the success of…
Added 16 hours ago
Automation Engineer, Agentic Orchestration
StackAdapt
Canada
An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and…
Added 16 hours ago
Data Developer
TextNow, Inc.
Waterloo, ON
…data warehouses (e.g., Snowflake), and hands-on experience in Python and SQL - preferably in companies with fast-growing and evolving data…
Added 16 hours ago
Tech Lead - Python
Nearform
Canada
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance…
Added 16 hours ago
Senior Software Engineer - Python & AI
Nearform
Canada
As a Senior Engineer at Nearform your main task will be designing & building applications using Python. However as you’ll likely work on a variety of projects your responsibilities may also…
Added 16 hours ago
CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…manage it must scale with it. We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute…
Added 16 hours ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
We are looking for an engineer to bridge the gap between promising research ideas and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and…
Added 16 hours ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Engineer chaos engineering and fault-injection suites to simulate node failures, inter-node network degradation, GPU memory leaks, driver/firmware mismatches, and automated recovery paths…
Added 16 hours ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
Added 16 hours ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Added 16 hours ago
CS
Sr. Data Center Network Provisioning Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
The Sr. Datacenter Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data…
Added 16 hours ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the…
Added 16 hours ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources,…

Bree

Machine Learning Engineer

Toronto, ON, Canada

Hybrid

$180,000 to $250,000 CAD / year · Full-time

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Job details

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

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 One-Time Setup + $500/Year Annual Learning & Home-Office Stipend

🧘🏼 $1,500 Annual Wellness Stipend

🥗 Free Lunch Provided In Office Daily + $250/Month Stipend For Your WFH Days

❄️ Fully Remote In The Winter

🚗 $150/Month Commuter Benefits

🚼 Parental Leave

🏝 20 Annual PTO Days + Unlimited Sick Days

🚀 Annual Company Retreat

☕ In-Office Amenities

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Machine Learning Engineer at Bree will build, deploy and monitor machine learning models that power lending decisions. They will also optimize model performance and work closely with data engineers on the data pipelines.

Requirements

Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and hands-on work with cloud-based model deployment. Strong analytical skills and the ability to turn business needs into scalable ML solutions are also expected.

Skills

Python
Scikit-learn
LightGBM
PyTorch
MLflow
Kubeflow
SageMaker
Pandas
NumPy
SQL
NoSQL
Docker
Kubernetes
AWS
GCP
Azure
CI/CD
Feature engineering
Hyperparameter tuning
Model monitoring
Supervised learning
Unsupervised learning
Real-time inference
Batch inference
Model explainability

Benefits

Comprehensive health, dental and vision plan
One-time setup and annual learning and home-office stipend
Annual wellness stipend
Free daily lunch and work-from-home stipend
Commuter benefits
Parental leave
20 annual PTO days and unlimited sick days
Annual company retreat
Top-of-market compensation for top performers

Keywords

Machine Learning Engineer
ML
MLOps
Python
Scikit-learn
LightGBM
PyTorch
MLflow
Kubeflow
SageMaker
Pandas
NumPy
SQL
NoSQL
Docker
Kubernetes
AWS
GCP
Azure
fintech

Perks

Generous paid time off
Parental leave
Wellness program
Transit support
Meals
Remote work allowance

Tools

Docker
Kubernetes
MLflow
Kubeflow
SageMaker
Pandas
NumPy
SQL

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Work requirements

Jobs in Canada