Jobs.ca
A(

Amii (Alberta Machine Intelligence Institute)

Verified Job Source

Artificial Intelligence for Good & for All

Edmonton, Alberta

Sign in to follow
Research Services
201–500 people

About

Amii is one of Canada’s three national AI institutes, advancing the country’s leadership in artificial intelligence as part of the Pan-Canadian AI Strategy. We work alongside Mila, the Vector Institute, and CIFAR to drive world-class research, develop top AI talent, and support the responsible use of AI across industries. Together, we’re positioning Canada as a global leader in AI innovation.

Open positions

Machine Learning Engineer - Client: National Safety Services (Full Time Perm) - Remote

Remote · Edmonton, Alberta, Canada

Lead the design, development, deployment, and ongoing operation of AI/ML products, including LLM applications and document-processing solutions, while establishing scalable architecture, infrastructure, and engineering practices. Work with occupational health and safety experts and senior stakeholders to turn regulatory and business needs into practical AI solutions, and help grow the technical team through leadership, mentorship, and hiring support.

Manager, National AI Literacy Programs

On-site

Lead the development, delivery, and growth of national AI literacy programs, including building stakeholder partnerships and establishing program workflows and infrastructure. Manage and coach the team, support content creation and program promotion, identify funding and partnership opportunities, and improve systems and processes.

Site Reliability Engineer

On-site

Manage and scale reliable cloud infrastructure and internal and external services, including Kubernetes workloads, infrastructure as code, CI/CD pipelines, monitoring, and disaster recovery. Lead incident response and reliability practices, optimize AI workload performance and cloud costs, and collaborate with engineering, IT, product, and research teams on scalable and secure systems.

Software Engineer

On-site

Architect, build, and maintain scalable full-stack applications, APIs, databases, and production services, including responsive interfaces, automated testing, CI/CD, and Kubernetes deployments. Integrate RAG and agentic AI capabilities, improve system performance and reliability, and collaborate with product, research, and engineering teams on technical standards, mentoring, and long-term strategy.

Quality Assurance Engineer

On-site

Design, maintain, and integrate automated and manual test suites to verify internal and external services, APIs, applications, and AI integrations across releases. Manage test plans and bug workflows, perform release and performance validation, and collaborate with engineering and product teams to establish quality standards, metrics, and processes.

Executive Assistant to the CDO

On-site

Manage the Chief Delivery Officer’s calendar, communications, travel, meeting preparation, and sensitive information while serving as a liaison with internal and external stakeholders. Coordinate cross-functional initiatives, events, and strategic projects, tracking follow-ups and deliverables to support the Delivery portfolio and organizational priorities.

Machine Learning Resident - Client: Publicus (12 month term)

On-site

Develop and deploy multimodal procurement document intelligence pipelines, including synthetic and adversarial dataset creation, model evaluation and fine-tuning, and reliable information extraction for secure, low-compute environments. Benchmark document AI and multimodal models, optimize inference, deliver verifiable client-focused MVPs, and communicate progress through meetings, presentations, and reports.

Director, Business Development

On-site

Lead, coach, and manage Key Account Managers to achieve revenue targets, improve pipeline velocity, and close complex enterprise partnerships, while also personally sourcing and closing strategic deals. Own HubSpot data integrity and reporting, develop data-driven regional strategies, manage the team’s operating budget, and represent Amii at industry events to generate pipeline and strengthen its brand.

Machine Learning Resident - Client: Pratt & Whitney Canada (6 month term)

On-site

Develop, evaluate, and operationalize predictive and optimization models for production scheduling, maintenance, parts allocation, procurement, and inventory management. Prepare and analyze data, deploy models using MLOps practices, support AI governance and piloting, and communicate progress and results to client and interdisciplinary teams.

Machine Learning Resident - Client: Theragraph (4.5 month term)

Remote · Edmonton, Alberta, Canada

Develop, fine-tune, optimize, and evaluate machine learning models and pipelines that extract accurate structured health data from complex medical records, using expert feedback and reinforcement learning methods. Research and apply RL, OCR, and retrieval-augmented generation techniques, measure alignment and accuracy, and collaborate with the project team and client on solutions, progress reports, and presentations.

HR Systems Coordinator (6 month term)

On-site · Edmonton

The HR Systems Coordinator will manage the migration of employee and payroll data while supporting recruitment and onboarding processes. They will collaborate with cross-functional teams to ensure accurate system transitions and maintain HR documentation.

Machine Learning Scientist

On-site · Edmonton

The Machine Learning Scientist leads applied ML projects for industry partners while mentoring junior team members to ensure scientific excellence. They bridge the gap between fundamental research and business opportunities by providing technical guidance and implementing innovative AI solutions.

Machine Learning Resident - Client: Snapshot (12 month term)

On-site · Edmonton

The resident will design and develop computer vision pipelines for industrial gauge detection and value extraction while building automated annotation systems using Vision-Language Models. They will also collaborate with a cross-functional team to optimize models for edge deployment and evaluate performance under challenging environmental conditions.