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Added 3 months ago
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
…and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America,…
Added 5 months ago
S
Software Engineer III (FC Ops)
Spreetail
Winnipeg, Manitoba
- Full-time
Familiarity with downstream ML pipelines (Python, dbt, Dagster) - you won't own them, but you'll work alongside them.
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Expert-level proficiency in statistical programming (Python or R) with ability to write production-quality code
Added 5 months ago
M
Director, Data Science
Mastercard
Toronto, Ontario
- Full-time
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can…
Added 5 months ago
P
AI Engineer
Portless
Remote, Canada
- Remote
Collaborate closely with product, operations, and engineering teams to identify high-leverage AI opportunities and deliver them end-to-end
Added 5 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Partner with the Staff Developer to drive technical design, balancing trade-offs and advising on complex cross-team data platforms.
Added 5 months ago
S
Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $146,200 to $258,000 CAD / year
- Full-time
- Remote
Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.
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
Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.
Added 5 months ago
E
Senior Software Engineer, Builders
EvenUp
Remote, Canada
- Full-time
- Remote
Familiarity with Python, TypeScript, or the modern AI/ML stack
Added 4 months ago
V
Senior Specialist, Data Modeler (Microsoft
Vale
Toronto, Ontario
- Full-time
…United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and…
Added 5 months ago
MS
Senior Software Engineer - AI/Computer Vision (Camera Systems)
Motorola Solutions
Vancouver, British Columbia · Toronto, Ontario
- Full-time
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We…
Added 5 months ago
A
Intermediate Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
…about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from…
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Canada
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Calgary, Alberta
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
We are building that system. A cross-portfolio data lake on open table formats, with a feature store on top that makes the data agent-readable. An action layer that runs workflows across…
Added 5 months ago
V
Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
- Full-time
…United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and…
Added 5 months ago
H
AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
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 5 months ago
H
Applied AI Scientist (Hybrid)
Homebase
Remote, Canada
- $108,000 to $130,000 CAD / year
- Full-time
- Remote
At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive…
Added 5 months ago
T
Applied Scientist, Pro Growth
Thumbtack
Remote, Canada
- Full-time
- Remote
We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have…
Added 5 months ago
F
Software Dev QA Specialist
Fortinet
Burnaby, BC
- Full-time
Reproduce and troubleshoot bugs with developers to ensure defects are correctly identified and resolved.
Added 5 months ago
S
Associate AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
Added 5 months ago
LS
AI Toolchain Software Developer
Lattice Semiconductor
Montreal, Quebec
- Full-time
Proficiency in Python, with the ability to write clean, maintainable code for both prototyping and production environments.
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 5 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).

SandboxAQ

Senior Machine Learning Engineer, AI Generation Engine

Remote, Canada

Remote

$119,000 to $210,000 CAD / year · Full-time

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Job details

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

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

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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

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