Find work in Canada.

328,145 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 20 days ago
Senior Machine Learning Engineer – Azure ML, Databricks, MLflow & MLOps
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Senior Machine Learning Engineer – Azure ML, Databricks & MLOps
Added 22 days ago
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 10 days ago
Senior AI Engineer
Mastercard
Vancouver, BC
Full-time
…teams to move their research products into production. As a Senior AI Engineer, you will independently build and ship agent-based applications and developer tooling, and partner with data…
Added 12 days ago
Senior Software Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for a visionary Senior Software Engineer to provide strategic technical leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI…
Added 2 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Work on challenging business problems by leveraging large RBC data, translating them into machine learning problems and applying advanced machine learning algorithms to generate business…
Added 2 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 3 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 3 days ago
Sr. Machine Learning Engineer
Insight
Remote, Canada
Full-time · Remote
As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on…
Added 3 days ago
Senior AI Engineer
HomeTeam Network
SK · Saskatchewan, Canada
Full-time
As a Senior AI Engineer at HomeTeam Network, you'll be at the forefront of developing solutions that power our AI-complete sports broadcasting platform. You'll work on cutting-edge computer…
Added 19 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
…solutions for our clients. You will lead teams, engage with senior client stakeholders, and translate complex business challenges into secure, ethical and high‑impact AI/ML solutions. This…
Added 4 days ago
AI / ML Engineer
Synechron
Montreal, QC · MDC – Montreal
Full-time
Connaissance des pratiques MLOps et des pipelines de déploiement de modèles.
Added 4 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
Senior-level, hands-on experience as a Machine Learning Engineer, ML Specialist, MLOps Engineer, or similar production-focused ML professional.
Added 4 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 5 days ago
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 5 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 6 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 15 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 19 days ago
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 11 days ago
Generative AI Engineer
PrecisionERP / PrecisionIT
Toronto, ON
Contract
PrecisionERP/IT is seeking a Senior Generative AI Engineer to design, build, and scale enterprise AI systems, Generative AI applications, and intelligent agents.
Added 11 days ago
Staff Software Engineer
kadence
Toronto, ON
Full-time
They’re looking for a Staff Software Engineer, AI to provide hands-on technical leadership across the design, development, and scaling of enterprise-grade AI systems. This is a senior…
Added 16 days ago
Director, Program Delivery
RBC
Vancouver, BC
Full-time
Experience delivering AI, machine learning, data, cloud, or platform solutions into production environments.
Added 11 days ago
Lead Data Scientist- Canada
Very LLC
Remote, Canada
$100 CAD / hour
Contract · Remote
Added 16 days ago
Senior Software Engineer, GenAI Workflows
Eyeline
Vancouver, BC
$165,000 to $200,000 CAD / year
Full-time
As Senior Software Engineer within GenAI Workflows, you will collaborate closely with GenAI-powered VFX stakeholders to understand user needs and use your deep understanding of ML processes…
Added 16 days ago
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 17 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.

SandboxAQ

Senior Machine Learning Engineer, AI Generation Engine

Remote, Canada

Pay: $119,000 to $210,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 5+ years of postgraduate experience in software development
Posting language: English
Posted: May 27, 2026

Apply About employer

Applications open in a new tab.

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

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.
Contribute to the efforts 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.

Essential Skills & Experience

BS in Software Engineering, Computer Science, or equivalent field of study
5+ 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?

Competitive salary, equity and annual bonus
401k matching at 50% up to IRS maximum contribution
Unlimited PTO plus a summer and winter break (one week each)
Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents
$750 equipment, software, and office furniture budget
$100 per month for wellness (physical or mental) and $100 for home office bills
Top-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees
Family Planning support (fertility, surrogacy, adoption) through Carrot

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 About employer

More about this job

Responsibilities

Design and manage robust data pipelines and develop novel ML models for Large Quantitative Models and agentic frameworks. Collaborate with cross-functional teams to translate business objectives into actionable ML development and production roadmaps.

Requirements

Requires a Bachelor's degree in Computer Science or a related field with over 5 years of postgraduate software development experience. Must have a proven track record of driving the full ML lifecycle from data exploration to scalable production deployment.

Skills

Python
PyTorch
TensorFlow
JAX
NumPy
Pandas
MLOps
CI/CD
Experiment Tracking
Data Pipelines
Model Fine-Tuning
Large Quantitative Models
Agentic Frameworks
Cloud Computing
Software Development
Data Curation

Benefits

Competitive Salary
Equity
Annual Bonus
401k Matching
Unlimited PTO
Summer Break
Winter Break
Paid Parental Leave
Equipment And Office Furniture Budget
Wellness Allowance
Home Office Allowance
Medical Insurance
Dental Insurance
Vision Insurance
Family Planning Support

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Generation Engine
Large Quantitative Models
LQM
Agentic Frameworks
MLOps
Weights & Biases
MLflow
GCP
AWS
PyTorch
TensorFlow
JAX
Python
Data Pipelines
Fine-Tuning
Pre-Training
CI/CD
Scalable Systems
Model Evaluation
Hyper-parameter Tuning
Software Engineering
Computer Science
Financial Simulation
Risk Simulation
Production Deployment
MVPs
Data Engineering
Feature Engineering
Cloud Computing

Report this job