Jobs in Canada

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Added 5 months ago
C
Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $120,000 to $140,000 CAD / year
- Full-time
We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their…
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
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Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, QC
- Full-time
…concevant des flux de travail automatisés et des intégrations d'IA générative/LLM afin de réduire considérablement les délais de première réponse et de résolution…
Added 1 month ago
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AI Engineer - Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
…rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based…
Added 1 month ago
Software Development Engineer, Neuron Explorer
Amazon
Toronto, ON
…servers that use them. This role is for a Software Development Engineer on the Developer Experiences (DevEx) team within AWS Neuron, based in…
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 months ago
TG
Systems Engineer, Patch Management (12 month contract)
TMX Group
Toronto, Ontario
- $110 to $120 CAD / hour
- Full-time
We are seeking a Systems Engineer to join our team for a 12-month contract. In this role, you will be responsible for architecting, testing, and executing enterprise-wide software updates…
Added 5 months ago
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AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…
Added 5 months ago
C
Senior Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $130,000 to $160,000 CAD / year
- Full-time
We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Are you an aspiring AI Engineer eager to gain real-world impact and learn how to push AI's boundaries? Imagine diving into diverse, cutting-edge AI problems across multiple high-growth…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to…
Added 5 months ago
SG
Senior Machine Learning Engineer
Spexi Geospatial
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
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…
Added 5 months ago
A
Senior Software Engineer, Tech Transformation
AutoScout24
Toronto, Ontario
- Full-time
We’re looking for a Senior Software Engineer, Tech Transformation who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to…
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Added 5 months ago
CE
Avionics Integrator Engineer (Hybrid: Montreal, Quebec)
Capgemini Engineering
Montreal, QC
- Full-time
Added 1 month ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 6 months ago
AR
Lead ML Engineer
Acrylic Robotics
Montreal, Quebec
- $80,000 to $100,000 CAD / year
- Full-time
…reality. There's no single model that solves this. We combine generative and recommendation AI, digital illustration pipelines, and robotics into one integrated stack that moves from idea…
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable…
Added 1 month ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
…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 science…
Added 1 month ago
C
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
Appliquer des mesures d'évaluation propres à l'IA générative et établir des seuils de performance appropriés.
Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
o Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools
Added 3 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
Forum Asset Management – Software Engineer - Data
Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Mistral
Montreal, Quebec
- Full-time
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Added 6 months ago
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Senior Software Engineer
PointClickCare
Mississauga, Ontario
- $142,000 to $158,000 CAD / year
- Full-time
Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset

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
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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