Jobs in Canada

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Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
…entrepreneur who holds five degrees from MIT: B.S. in Electrical Engineering, B.S. in Physics, M.S. in Electrical Engineering, an Engineer’s Degree, and a Ph.D. in Electrical Engineering.…
Added 6 months ago
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Professional, Engineering - Digital Engineering
Bombardier
Dorval, Quebec
- Full-time
Registration required
Added 6 months ago
WL
Telecom Systems Lead
Woodfibre LNG
Squamish, British Columbia
- Full-time
The Telecom Systems Lead is responsible for ensuring all telecom and operational communication systems are designed, implemented, and transitioned into operations effectively. The position…
Added 6 months ago
VF
Senior Business Systems Designer
Vancouver Fraser Port Authority
Vancouver, British Columbia
- Full-time
The Senior Business Systems Designer leads the discovery, definition, and functional architecture of business systems to ensure technology solutions directly support organizational…
Added 6 months ago
WL
Telecom Systems Lead
Woodfibre LNG
Vancouver, British Columbia
- Full-time
The Telecom Systems Lead is responsible for ensuring all telecom and operational communication systems are designed, implemented, and transitioned into operations effectively. The position…
Added 6 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
You’ll work closely with product, design, engineering, operations, and leadership partners to deliver intuitive, performant, and reliable interfaces for configuring, operating, and…
Added 6 months ago
SG
Senior Machine Learning Engineer
Spexi Geospatial
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…development of experimental models, algorithms and prototype systems that push the boundaries of what’s possible with geospatial imagery analytics. Your work will bridge early-stage…
Added 6 months ago
K
Software Engineer, AI
Klue
Toronto, Ontario
- $92,000 to $119,000 CAD / year
- Full-time
We're looking for a Software Engineer with production experience to join our Toronto AI engineering team. You'll help us build and improve the LLM-powered agent systems that turn millions…
Added 6 months ago
HI
US Portfolio Manager
Hillsdale Investment Management Inc.
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Lead the architecture and continuous improvement of our quantitative research platform, partnering with engineering to translate research needs into production-ready systems.
Added 6 months ago
VT
Senior Robot Programmer
Valiant TMS
Windsor, Ontario
- Full-time
Robot Commissioning: Ensure systems are commissioned following industry best practices.
Added 6 months ago
WI
Manager, Municipal Engineering
WSP in Canada
Sudbury, Ontario · Greater Sudbury, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 6 months ago
DN
General Manager - Sales & Commercial Operations - Newfoundland & Labrador
Dyno Nobel
St. John's, Newfoundland and Labrador · Greater St. John's Metropolitan Area
- Full-time
Candidate must reside in or be willing to relocate to the region
Added 6 months ago
BC
Advisor, Talent Acquisition
BBA Consultants
Calgary, Alberta
- Full-time
Use and help optimize our digital systems and technology platforms every day (e.g., ATS, document management and social media)
Added 6 months ago
B
Professional Engineering - Electrical Systems Integration - Pool Posting
Bombardier
Dorval, Quebec
- Full-time
In your role, you will be supported by the electrical systems manager as a Professional – Engineering – Electrical Systems Integration in a multifaceted position within the Functional…
Added 6 months ago
B
Professional, Senior Engineering- Fly-By-Wire and Secondary Flight Control System - Pool Posting
Bombardier
Dorval, Quebec
- Full-time
FBW and Secondary Flight Control System – Professional Senior - Engineering
Added 6 months ago
B
Analyst, Quality Assurance Coordinator
Bombardier
Dorval, Quebec
- Full-time
You have a college degree in aerospace engineering or a related field or equivalent
Added 6 months ago
SG
National Key Accounts Coordinator
Schindler Group
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Attention to detail and must have the business maturity to communicate effectively with key customers and internal departments
Added 6 months ago
A
Senior Software Engineer, Tech Transformation
AutoScout24
Toronto, Ontario
- Full-time
…end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to modernizing our platform so we can better detect fraud, assess risk, and move…
Added 6 months ago
WI
Manager, Municipal Engineering
WSP in Canada
Sudbury, Ontario · Greater Sudbury, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 6 months ago
WI
Manager, Municipal Engineering
WSP in Canada
Cornwall, Ontario
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 6 months ago
WI
Manager, Municipal Engineering
WSP in Canada
Kingston, Ontario
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 6 months ago
H
Project Manager/ Estimator, Preventative Maintenance
Houle
Burnaby, British Columbia
- $85,000 to $100,000 CAD / year
- Full-time
…routine inspections and repairs to keep our customers' electrical systems safe, reliable, and efficient. We work directly with clients on a range of projects and service calls, including…
Added 2 months ago
Train Cost Leader
Alstom
Saint-Bruno, QC
…high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the…
Added 4 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Translate complex technical ideas into compelling narratives for CTOs, VPs of Engineering, and business executives
Added 3 months ago
F
Sales Lead
Flatgigs
Remote, Canada
- Remote
…intelligence, orchestration, edge computing and real-world operational systems. Through capabilities, they enable enterprises, governments and infrastructure operators to turn data from…

Spexi Geospatial

Senior Machine Learning Engineer

Remote, Canada

Remote

$200,000 to $250,000 CAD / year · Full-time

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Job details

Pay: $200,000 to $250,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: May 4, 2026

Original job description

Spexi is a drone technology company on a mission to make ultra-high-resolution geospatial imagery more accessible than ever before, empowering humanity to make better decisions about the physical world. We’re building an exciting new two-sided marketplace called the Spexi Network, powered by drones and blockchain technology. It's the world’s first Fly-to-Earn platform that enables drone pilots to earn rewards for flying and collecting aerial imagery. It also enables organizations of all sizes to quickly and easily access high-resolution aerial imagery and valuable derivative data, powering remote monitoring of buildings, infrastructure, natural resources, and more. Our goal is to guide their decision-making and help them better plan and react, without needing to own drones or hire pilots. We’re looking for a Senior Machine Learning Engineer to lead the development of experimental models, algorithms and prototype systems that push the boundaries of what’s possible with geospatial imagery analytics. Your work will bridge early-stage research and production - delivering high-quality, well-structured code that serves as a foundation for the next generation of Spexi’s geospatial intelligence products. RESPONSIBILITIES: Design, train, and productionize models for aerial-image classification, object detection, and 2D/3D segmentation across diverse geographies, sensors, resolutions, and seasons. Spearhead the integration and optimization of state-of-the-art foundation models for aerial segmentation, adapting SAM2-like capabilities and subsequent architectures through prompt engineering, fine-tuning, and distillation Engineer change detection and structure-change models capable of distinguishing real-world physical changes from acquisition noise and seasonal lighting variations. Develop predictive models for trend forecasting, integrating time-series methods with spatial context to monitor vegetation growth, construction, and asset degradation. Build Generative AI capabilities, including multimodal models and natural-language query systems that ground language in georeferenced pixels and semantic layers. Design and operate scalable ML pipelines on AWS, leveraging SageMaker, S3, and Step Functions to move from research prototypes to production endpoints. Track the frontier of research - including NeRFs, Gaussian Splatting, and diffusion models - translating relevant breakthroughs into shipped product capabilities. Collaborate with photogrammetry and platform teams to ensure ML outputs maintain geospatial accuracy and align to coordinate reference systems. Establish rigorous evaluation benchmarks and metrics to validate model performance under real-world production conditions. WHAT YOU BRING: Minimum Qualifications: An M.S. and 5+ years of work experience in Computer Science, Computer Vision, Machine Learning, Remote Sensing, or a related quantitative field. Proven experience in research-to-production translation: acting as the bridge between pure academia and commercial engineering - demonstrating the ability to read a newly published research paper, replicate its findings, rapidly prototype, and distill it into a production-ready feature. At least 3 years of applied ML and computer vision experience transitioning models from research to production, ideally involving geospatial, aerial, or satellite imagery. Deep, contemporary expertise in predictive AI for imagery, including classification, object detection, and segmentation, with a strong technical perspective on the efficacy of modern feature-extraction methods. Working knowledge of the SAM2 or similar algorithms - including fine-tuning, prompt design, and distillation - and a clear understanding of its strengths and failure modes within the context of aerial datasets. Hands-on experience developing Generative AI capabilities, such as multimodal RAG, vision-language models, and diffusion-based pipelines, with the ability to ship complete systems end-to-end. Strong technical judgment regarding the selection of predictive vs. generative approaches, considering critical factors like cost, latency, and evaluability. Production experience operating ML pipelines on AWS, specifically utilizing SageMaker for training and hosting, alongside broader AWS data orchestration services. Experience managing large, complex imagery datasets in cloud environments while optimizing models for real-world performance, throughput, and cost-efficiency. Preferred Qualifications: A Ph.D. and 7+ years of work experience blending artificial intelligence with the physical sciences (e.g., Photogrammetry, Physics) Deep expertise in geospatial and remote sensing workflows, including hands-on experience with georeferenced imagery, coordinate reference systems, projections, and industry-standard tools like GDAL, PostGIS, and rasterio. Proven ability to adapt or pretrain geospatial foundation models to specialized remote-sensing tasks. Specialized experience in 3D scene understanding, leveraging NeRFs, Gaussian Splatting, and point cloud segmentation to ensure multi-view consistency across 2D and 3D ML outputs. Architectural experience designing multimodal RAG systems that integrate imagery, vector, and time-series data, with a focus on rigorous retrieval and generation benchmarks. Background in fast-paced startup environments, with a demonstrated capability to translate experimental research into production-quality geospatial intelligence systems. BENEFITS & PERKS: At Spexi, we believe that a solid work-life balance is crucial for producing the best products for our customers. To help our employees stay happy and healthy, we offer the following benefits and perks: Remote-friendly environment (with a hub in Vancouver, Canada) Flexible hours Medical, dental, and vision health benefits Spexi is an inclusive employer that values workplace equality, supports diversity, and respects the unique qualities each individual brings to the company. We thank all applicants for their interest. All applications will be reviewed to determine which candidates' education and experience best meet the needs of the position. Only individuals selected for interviews will be contacted.

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Jobs in Canada