Jobs in Canada

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Added 3 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 2 months ago
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Senior Firmware and Embedded Software Engineer
Humanoid
Burnaby, BC
- Full-time
Strong proficiency in C and C++, with experience using Python for testing or tooling
Added 2 months ago
Senior Software Engineer, Recommendations
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 3 months ago
E
Senior DevOps Engineer
e-STORAGE
Kitchener, ON
- Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…
Added 3 months ago
L
Staff/Sr. Staff Design Verification Engineer
Lightmatter
Toronto, ON
- Full-time
As a Design Verification Engineer at Lightmatter, you will find yourself at the heart of a dynamic, interdisciplinary team. Your role will involve close collaboration with our digital…
Added 3 months ago
PI
Principal RF Modeling & Characterization Engineer
Palitronica Inc.
Waterloo, ON
- $140,000 to $180,000 CAD / year
- Full-time
Proficiency with Python, MATLAB or similar tools for analysis, automation and model development.
Added 3 months ago
PI
Principal RF Measurement & Calibration Engineer
Palitronica Inc.
Waterloo, ON
- $140,000 to $180,000 CAD / year
- Full-time
Palitronica is seeking a Principal RF Measurement & Calibration Engineer to advance the measurement science behind Anvil's RF characterization platform.
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and hands-on experience with PyTorch.
Added 2 months ago
XR
Senior AI - Computer Vision Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to join the team and help develop the next generation of perception…
Added 2 months ago
Software Engineer
Capgemini
Mississauga, ON
Successful candidate will be required to work from the client's Ottawa office 3 days per week, with the remaining days worked remotely
Added 2 months ago
S
Senior Ethical Hacker
Stantec
Toronto, ON
- Full-time
Engineer custom Python, Terraform, and Ansible extensions to enable specialized security and
Added 3 months ago
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Software Engineer - Observability
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
Added 3 months ago
VG
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
We are present in Paris, Montreal, Luxembourg, Shanghai, New York, and Geneva, with over 800 consultants 🇫🇷🇨🇦🇨🇳🇺🇸🇨🇭.
Added 3 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 3 months ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 3 months ago
S
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
Strong Python skills (pytest, pandas, numpy, cx_Oracle) and comfort with SQL (Oracle and/or Sybase/SQL Server).
Added 2 months ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Quality Engineer, you will design, build and implement test automation to ensure quality delivery in support of value-add technology solutions and products. You will proactively…
Added 2 months ago
S&
Lead Transmission Line Engineer - Grid
Sargent & Lundy
Calgary, AB
- Full-time
Coordinate design activities to ensure installation and operations will comply with specifications, codes, and client requirements.
Added 2 months ago
S&
Senior Underground Transmission Line Engineer 2 - Grid
Sargent & Lundy
Calgary, AB
- Full-time
This position is based on a hybrid work schedule and will require in-office work 3 days per week
Added 2 months ago
S&
Lead EHV Transmission Line Engineer 2 - Grid
Sargent & Lundy
Calgary, AB
- Full-time
This position is based on a hybrid work schedule and will require in-office work 3 days per week
Added 2 months ago
S&
Senior Transmission Line Engineer - Grid
Sargent & Lundy
Calgary, AB
- Full-time
Work with vendors and clients to specify transmission line components.
Added 2 months ago
S&
Lead Underground Transmission Line Engineer 2 - Grid
Sargent & Lundy
Calgary, AB
- Full-time
Work and coordinate with vendors and clients to specify transmission line components.
Added 3 months ago
A|
Forward-Deployed Engineer
arosplatforms | AI Consulting & Services
Toronto, ON
- Full-time
4+ years shipping software, with strong full-stack ability (TypeScript + Python).
Added 6 months ago
RI
Silicon Photonics Designer and Tester Engineer
RANOVUS Inc.
Ottawa, ON
- Other
Ranovus is a semiconductor company with global operations helping power the data behind next generation AI and data center networks. We design and build advanced hardware that moves massive…

XYZ Reality

AI Platform & Machine Learning Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: Minimum of 3–5 years’ experience in Machine Learning Engineering or a closely related role.
Posting language: English
Posted: Aug 19, 2026

Original job description

Help build the AI platform powering the future of construction

At XYZ Reality, we’ve created the world’s first engineering-grade Augmented Reality solution for construction. Our technology is already being used on major construction projects around the world to help teams build more accurately, efficiently and with fewer mistakes.

Now, we’re taking that technology even further.

We’re developing the next generation of wearable AI systems, combining computer vision, localisation, BIM understanding, semantic reasoning and augmented reality to create a Construction Intelligence platform capable of understanding what has been built, where it has been built and whether it has been installed correctly.

As a Series B business entering our next phase of growth, we’re investing further in our R&D capability and building out a new technology hub in Calgary, Canada.

We’re looking for an AI Platform & Machine Learning Engineer to join us and help build the infrastructure that will power the next generation of our AI products.

The Role

This is an exciting opportunity for a Machine Learning Engineer who wants to work at the point where AI research meets real-world production engineering.

You’ll work on the systems that enable our AI models to move from research and experimentation into scalable, production-ready technology, building the infrastructure for dataset management, model training and retraining, experiment tracking, continual learning, deployment and monitoring.

A key part of the role will be understanding the complete AI lifecycle: from acquiring and labelling data through to training models, evaluating their performance and ultimately deploying them into production.

Working closely with our Computer Vision, Navigation, Embedded Software and Cloud Engineering teams, you’ll help ensure our AI models can be trained, evaluated, deployed and continually improved throughout the product lifecycle.

This is an exciting time to join! You’ll have the opportunity to work alongside deep technical expertise while having a genuine influence on how our AI platform evolves as we scale.

This isn’t AI for AI’s sake. The technology you build will ultimately support wearable systems being used in real-world construction environments, solving complex problems and changing how some of the world’s largest projects are delivered.

What You’ll Be Doing

Design and build scalable infrastructure for training and deploying machine learning models.
Develop distributed training pipelines and reproducible training environments.
Build experiment tracking, model versioning and model registry capabilities.
Develop automated benchmarking and model validation pipelines.
Build large-scale dataset ingestion, management and validation workflows.
Develop annotation and labelling workflows to support high-quality AI training data.
Explore synthetic data generation where appropriate.
Design and improve CI/CD pipelines for machine learning.
Monitor deployed model performance and support automated retraining.
Develop continual learning pipelines and explore techniques including PEFT and LoRA.
Support federated learning and improve model lifecycle management.
Deploy AI models across cloud services and embedded NVIDIA platforms.
Optimise inference infrastructure and build scalable APIs supporting AI services.
Work closely with AI, Computer Vision, Navigation, Embedded and Cloud teams to turn research into production-quality systems.
Contribute to technical architecture decisions, engineering standards and automation across the wider R&D team.

What We’re Looking For

Minimum of 3–5 years’ experience in Machine Learning Engineering or a closely related role.
Degree in Computer Science, Artificial Intelligence, Software Engineering or a related discipline; Master’s level or above is preferred.
Strong Python development skills and hands-on experience with PyTorch.
Practical experience training and retraining machine learning models, we’re looking for someone who understands what happens beyond simply consuming existing AI models.
Experience building and maintaining production ML pipelines.
Strong understanding of the end-to-end ML lifecycle, from acquiring and preparing data through to training, evaluation, deployment and monitoring.
Experience with computer vision and modern AI/model architectures.
Experience with Docker, Kubernetes and CI/CD.
Experience deploying machine learning models within cloud environments.
Strong software engineering fundamentals and an understanding of how to build reliable, maintainable production systems.
Comfortable working in a fast-moving area where technologies and approaches continue to evolve rapidly.

Experience with technologies such as MLflow, Weights & Biases, Ray, Kubeflow, Airflow, LoRA, PEFT, NVIDIA Jetson, CUDA, TensorRT or ONNX would be highly valuable, as would experience with AWS, Azure or GCP and large-scale dataset management.

You don’t need to have worked with every technology on the list. We’re particularly interested in people who can demonstrate strong ML engineering fundamentals, genuine hands-on experience and the ability to learn and adapt as the technology evolves.

Above all, we’re looking for someone who is curious, collaborative and excited by solving difficult technical problems – someone who wants to help turn cutting-edge AI research into technology that works in the real world.

What You Could Be Working On

From the outset, you’ll have the opportunity to contribute to high-priority projects including:

AI training infrastructure
Continual learning platform
Model registry and experiment tracking
Automated benchmarking frameworks
Cloud-to-edge deployment pipelines
Embedded AI deployment
Wearable Construction Intelligence technology

Why Join Us

🚀 Work at the intersection of AI, Computer Vision, AR and real-world engineering
🧠 Help build production AI systems tackling genuinely complex technical problems
🏗️ See your work applied to some of the world’s most ambitious construction projects
📈 Join a Series B business at an exciting stage of international growth
🔬 Work alongside specialists across AI, Computer Vision, Navigation and Embedded Engineering
💡 Have meaningful input into the architecture and evolution of our next-generation AI platform
🌍 Build technology with real-world, global impact

If you’re excited by the challenge of taking machine learning from experimentation through to scalable production, and want to help build the AI infrastructure behind the future of construction, we’d love to hear from you.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Design and build scalable infrastructure for training, deploying, and monitoring machine learning models within a production environment. Collaborate with cross-functional teams to integrate AI research into real-world construction technology solutions.

Requirements

Requires 3-5 years of experience in Machine Learning Engineering and a degree in Computer Science, AI, or a related field. Strong proficiency in Python, PyTorch, and experience with production ML pipelines and cloud environments is essential.

Skills

Python
PyTorch
Machine Learning Engineering
Computer Vision
Docker
Kubernetes
CI/CD
MLOps
Cloud Computing
Model Deployment
Data Pipeline Development
Distributed Training
Model Monitoring
Embedded Systems
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning Engineer
Computer Vision
Python
PyTorch
Docker
Kubernetes
CI/CD
MLflow
Weights & Biases
Ray
Kubeflow
Airflow
LoRA
PEFT
NVIDIA Jetson
CUDA
TensorRT
ONNX
Cloud Engineering
Embedded Software
Data Management
Model Registry
Synthetic Data
Federated Learning
Construction Intelligence
Augmented Reality
BIM
R&D
Scalable Infrastructure

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Jobs in Canada