Jobs in Canada

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Added 6 months ago
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Senior/Lead Risk Analyst, Payment fraud
Snaplii
Toronto, Ontario
- Full-time
Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor’s degree in Engineering, Computer Science, Statistics, Finance, or…
Added 5 months ago
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Research Machine Learning Scientist
TD
Remote, Canada
- Full-time
- Remote
As a Research Machine Learning Scientist, you will
Added 5 months ago
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Data Scientist, Tax Transformation Office
BDO
Toronto, Ontario
- Full-time
We are seeking a highly skilled and business-oriented Data Scientist to join the Tax R&D Lab within the Tax Transformation Office and help shape the future of how Tax operates across the…
Added 5 months ago
ME
Junior Environmental Technologist or Scientist
Montrose Environmental Group
Grande Prairie, Alberta
- Full-time
As an Junior Engineer/Scientist, in Grande Prairie you’ll be responsible for assisting multiple projects where you will have increasing interaction with our multi-disciplinary staff,…
Added 5 months ago
Sr. Physical AI Research Scientist
Human Resources
Toronto, Ontario
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 5 months ago
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Quantitative Analyst
BRP
Sherbrooke, Quebec
- Full-time
Analyze large internal and external datasets (sales, market data, economic indicators, industry trends) to extract relevant insights.
Added 5 months ago
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Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Move Your Career Forward with DAC a Senior Data Scientist
Added 5 months ago
XE
Optical Coatings Materials Scientist
Xcimer Energy
Quinte West, Ontario
- Full-time
As a Optical Coatings Materials Scientist in the Materials & Process Engineering (M&P) Department, you will work closely with the optical and laser systems teams to develop and implement…
Added 5 months ago
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AI Applied Scientist
Verily
Toronto, Ontario · Waterloo, Ontario
- Full-time
As an AI and Data Scientist at Verily, you will be supporting our core mission to build advanced data and AI capabilities for Verily's portfolio of products. You will help drive innovation…
Added 5 months ago
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Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $146,200 to $258,000 CAD / year
- Full-time
- Remote
…take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building…
Added 5 months ago
S
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $119,000 to $210,000 CAD / year
- Full-time
- Remote
…take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building…
Added 5 months ago
IF
Data Scientist II
Intact FC
Ajax, Ontario · Mississauga, Ontario · Toronto, Ontario
- Full-time
We’re looking for Data Scientist II to join our growing teams. You’ll build and deliver data science solutions end-to-end, framing problems with partners, developing and validating models…
Added 4 months ago
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Senior Specialist, Data Modeler (Microsoft
Vale
Toronto, Ontario
- Full-time
The Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and…
Added 5 months ago
Mathematical Scientist for AI Safety Research
LawZero
Montreal, Quebec
LawZero is a non-profit founded by Yoshua Bengio developing a fundamentally new approach, the Scientist AI. We are inspired by the fact that scientific theories are both generally useful…
Added 5 months ago
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Senior Scientist, Stem Cell-Derived Tissue Models( Contract)
Amgen
Remote, Canada
- Full-time
- Remote
Document protocols, experimental designs, model validation data, and decision criteria in a clear and reproducible manner.
Added 2 months ago
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Senior Scientist, Stem Cell Model Engineering( Contract)
Amgen
Remote, Canada
- Full-time
- Remote
Let’s do this. Let’s change the world. In this vital role, you will join the Predictive Biology team as a hands-on scientist focused on developing, optimizing, and validating human induced…
Added 5 months ago
Director, Evaluations
LawZero
Montreal, Quebec
Lead evaluation of the Scientist AI when deployed as a guardrail around frontier models, including its ability to comply with harm specifications, detect and block harmful responses,…
Added 5 months ago
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Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
- Full-time
We are currently seeking a Senior Specialist, Data Modeler – OT & Industrial Automation to join our IT – Data Analytics & Reporting team, supporting Vale Base Metals operations in Sudbury,…
Added 5 months ago
CP
Data Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 CAD / year
- Full-time
- Remote
Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level.
Added 6 months ago
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Applied AI Scientist (Hybrid)
Homebase
Remote, Canada
- $108,000 to $130,000 CAD / year
- Full-time
- Remote
We’re looking for an Applied AI Scientist who’s passionate about building intelligent systems that directly impact real-world customers. You’ll work at the intersection of AI, product, and…
Added 5 months ago
T
Applied Scientist, Pro Growth
Thumbtack
Remote, Canada
- Full-time
- Remote
3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models.
Added 6 months ago
SC
Environmental Scientist
SLR Consulting
Guelph, Ontario
- Full-time
Must have past experience working in remote locations (e.g · Must possess a valid driver’s license and regular access to a reliable vehicle for travel to job sites/clients
Added 6 months ago
D
Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, ON
- $183,000 to $429,390 CAD / year
- Full-time
Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
Added 6 months ago
Contaminated Site Assessment & Remediation Engineering Graduate
GHD Group Pty Ltd
Vancouver, British Columbia
We are hiring for an Environmental Engineer, Scientist or Technologist to join our dynamic Contaminated Assessments & Remediation (CAR) team! This role can be based out of our Calgary…
Added 6 months ago
Intermediate Environmental Engineer or Scientist
WSP
St. Catharines, Ontario
You’ll collect, document, and manage environmental field data following WSP standards and industry protocols.

SandboxAQ

Staff Machine Learning Engineer, AI Generation Engine

Remote, Canada

Remote

$146,200 to $258,000 CAD / year · Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Pay: $146,200 to $258,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 8+ years of postgraduate experience in software development
Posting language: English
Posted: May 27, 2026

Original job description

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company.

SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks.

We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs.

As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

Key Responsibilities

Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks.
Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.
Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.
Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context.
Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.
Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment
Drive technical execution with high autonomy, making critical design and implementation decisions independently

Essential Skills & Experience

BS in Software Engineering, Computer Science, or equivalent field of study
8+ years of postgraduate experience in software development
Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.
Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)
Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.
Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and datasets.

Highly Desired Skills & Experience

MS or PhD in Software Engineering, Computer Science or equivalent experience
Financial simulation or technical experience, risk simulation
Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations
Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)

Why Join Us?

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Lead the end-to-end machine learning lifecycle to design and deploy AI-first SaaS products using Large Quantitative Models. This includes building robust data pipelines, developing novel ML algorithms, and collaborating with cross-functional teams to create real-world MVPs.

Requirements

Requires a bachelor's degree in Computer Science or a related field with over 8 years of postgraduate software development experience. Candidates must have deep expertise in the Python ML stack and a proven track record of bringing scalable ML systems into production.

Skills

Python
PyTorch
TensorFlow
JAX
NumPy
Pandas
MLOps
CI/CD for ML
Experiment Tracking
Data Pipeline Design
Model Fine-Tuning
Large Quantitative Models
Agentic Frameworks
Cloud Computing
Feature Engineering
Model Evaluation

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Retirement Savings With Company Matching
Paid Parental Leave
Family-building Benefits
Flexible Paid Time Off
Company-wide Seasonal Breaks
Flexible Work Arrangements
Equity Participation
Performance-based Incentives

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Large Quantitative Models
LQM
Agentic Frameworks
MLOps
Weights & Biases
MLflow
GCP
AWS
PyTorch
TensorFlow
JAX
Python
SaaS
MVP
Data Pipelines
Hyper-parameter Tuning
Model Architecture
CI/CD
Version Control
Financial Simulation
Risk Simulation
Scalable Systems
AI Generation Engine
Feature Engineering
Predictive Accuracy

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Jobs in Canada