---
title: 'AI Platform & Machine Learning Engineer at XYZ Reality'
canonical: 'https://feeny.ai/job/ai-platform-machine-learning-engineer-xyz-reality-calgary-wr1bxbnvkazg'
type: 'job'
last_seen: '2026-09-09'
---

# AI Platform & Machine Learning Engineer at XYZ Reality

- **Company:** [XYZ Reality](https://feeny.ai/companies/xyz-reality)
- **Location:** Calgary, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/xyz-reality/20176f63-fe67-4932-b9c3-a6dfcc371307

## 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.

## About XYZ Reality

## Company Overview
- **One-liner**: XYZ Reality provides a construction delivery platform that combines engineering-grade augmented reality with real-time project controls to help teams plan, build, and deliver mission-critical projects with reduced risk and rework.
- **Entity Type**: Private (Series A/B stage; total funding of $37M)
- **Headquarters**: London, United Kingdom
- **Founded**: 2017
- **Founders**: David Mitchell (former architect, son of a builder)

## Core Business
- Primary industry/industries: Construction technology (ConTech), Augmented Reality (AR), Project Management Software
- Target customers: B2B — Enterprise; specifically asset owners, general contractors, specialty contractors, and developers in mission-critical sectors (data centers, pharmaceuticals, airports, hydrogen plants)
- Mission or purpose statement: "Build it right, first time" — eliminating rework and transforming how mission-critical projects are planned, built, and delivered.

## Products & Services
For each major offering:
- **XYZ Construction Delivery Platform**: An all-in-one SaaS platform combining real-time project controls, progress tracking, and quality assurance for construction portfolios.
- **Atom AR Headset**: The world’s most accurate engineering-grade augmented reality headset, enabling teams to view and position BIM holograms on-site to 5mm accuracy for real-time validation and clash detection.
- **Project Controls Module**: Software for tracking progress, managing resources, and gaining real-time visibility into onsite activities to mitigate delays.
- **Offsite Prefab Module**: Validation tool for prefabricated components before they leave the warehouse, ensuring accuracy and reducing rework.
- **Quality Control Module**: On-site QA tool that catches errors and clashes early using objective, instant data from the field.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total funding of $37M across 6 rounds; annual revenue estimated at $1.4M (LinkedIn estimate)
- **Notable Investors/Partners**: Not disclosed in public sources, but the company has delivered over $14B in combined project value for clients including global data center developers.
- **Growth Signals**: 120 employees (+7.1% YoY); operates in 19 countries (UK, US, India, Canada, Spain, Ireland, and more); LinkedIn followers grew 17.6% year-over-year to 29,010; reported saving a client 408 days and $135M across seven hyperscale data center projects.

## Competitive Advantages
- **Engineering-Grade AR**: The Atom headset provides 5mm accuracy for BIM holograms, a level of precision unmatched by consumer AR headsets.
- **Real-Time Objective Data**: Replaces subjective progress reports with irrefutable field data, enabling proactive decision-making and de-risking construction lifecycles.
- **Proven ROI**: Documented case studies showing massive cost and time savings (e.g., 408 days saved, $135M+ in rework costs avoided, 10x ROI for a global data center developer).
- **End-to-End Platform**: Combines hardware (AR headset) with software (project controls, quality, prefab) in a single managed service, creating a sticky ecosystem.

## Strategic Focus
- Current priorities and direction for growth: Accelerating delivery of mission-critical projects (especially data centers, pharma, and airports); expanding global footprint (already in 19 countries); deepening portfolio-level intelligence for large developers; continuing to innovate on AR hardware and software integration to eliminate rework and reduce time-to-market for clients.

## Why Work Here
- Culture highlights: Startup culture where "everyone rolls their sleeves up and gets stuck in"; values innovation, drive, and disruption; strong emphasis on team building and wellbeing.
- Remote/hybrid/office policy: Flexible, hybrid, and remote working options available across many positions.
- Notable perks: 5 weeks holiday plus additional Christmas days; health cover; wellbeing programs; regular team events; opportunity to work with cutting-edge AR technology and make a tangible impact on the construction industry.
- Engineering culture: Opportunity to work on revolutionary AR hardware (Atom headset) and a full-stack SaaS platform; solving real-world problems for massive construction projects.

## Sources
1. [xyzreality.com](https://www.xyzreality.com/)
2. [xyzreality.com/about-xyz-reality](https://www.xyzreality.com/about-xyz-reality)
3. [xyzreality.com/join-the-team](https://www.xyzreality.com/join-the-team)
4. [linkedin.com/company/xyz-reality](https://uk.linkedin.com/company/xyz-reality)
5. [builtin.com/company/xyz-reality](https://builtin.com/company/xyz-reality)

## Other roles at XYZ Reality

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