"I'm incredibly excited to welcome a new Machine Learning Engineer to our team! This role is perfect for someone passionate about diving deep into system architecture and large-scale, GPU-enabled high-performance computing clusters, health-data pipelines, and optimizing AI workflows for health-centred models. We're looking for a collaborative individual who thrives on both technical excellence and guiding others, ultimately making a significant impact on our research productivity and the advancement of state-of-the-art AI models. I can't wait to see the innovative solutions you'll bring to Amii!"

– Greg Burlet, Director of Engineering

About Amii Alberta Machine Intelligence Institute (Amii) is one of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

About The Role The Machine Learning (ML) Engineer plays a key role in ensuring machine learning research and applied AI projects operate securely and effectively. As a key member of the team, the ML Engineer will collaborate with senior engineering leaders to deploy and manage computing infrastructure, optimize AI workflows, develop training materials, and contribute to the technical development of both individuals and the organization.

The ML Engineer will work with cross-functional teams and external partners to support the execution of research and applied projects. Specifically, this engineer will focus on ensuring efficient and effective allocation and utilization of compute resources such as GPUs, managing data access and pipelines for sensitive health data, and providing workflow support for health projects training models on high-performance compute clusters. This role is critical to advancing research productivity and enabling state-of-the-art machine learning models.

In addition to hands-on technical work, the ML Engineer will contribute to the strategic planning of our infrastructure, working alongside the Director, IT, and the Director, Engineering to develop strategies, playbooks, and best practices for optimizing our tools, frameworks, and services.

The role focuses on achieving excellence in three main accountabilities:

• Infrastructure and Systems Management
• AI Workflow Optimization
• Technical Coaching and Collaboration

This is a full time temporary position with an end date of September 30, 2028. Required Skills / ExpertiseKey Responsibilities

Qualifications:

• Post Secondary Degree in Computer Science, Information Technology, Data Science, or a related field
• Advanced Degrees or Certifications in High-Performance Computing (HPC), Computer Science, ML/AI or Cloud Infrastructure (nice to have)
• 3+ years of experience in systems architecture: DevOps / MLOps and multi-node compute clusters including networking, IaC (terraform, ansible), CI/CD pipelines, VMs and hypervisors (proxmox), linux, node provisioning (warewulf), containers and container orchestration (docker, kubernetes), logging stacks (ELK), job schedulers (slurm), and high-speed networking fabrics (katalyst).

Attributes and Expectations:

• Advanced critical thinking and problem-solving skills
• Strong interpersonal communication skills for effective collaboration with internal teams and external stakeholders. Operates with integrity and trust
• Passion for designing effective learning exercises, technical concept illustrations, training, and evaluation tools
• Ability to manage multiple competing priorities in a fast-paced environment
• Demonstrates professional maturity, resourcefulness, and self-discipline in pursuing organizational goals
• A curious mindset with a keen interest in testing new educational tools and technologies
• Shows presence, self-confidence, sound judgment, and superior problem-solving abilities

What you'll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation, including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

How to Apply We’re excited to add a new member to the Amii team for this role! We are keeping the door open to new applicants until we find the right fit. When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application. Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.