Director, Engineering

at  Alberta Machine Intelligence Institute

“We’re thrilled to bring on a Director of Engineering who will be pivotal in optimizing AI workflows and aligning technical strategy with our mission. I look forward to seeing their leadership drive innovation and elevate our cross-functional teams to deliver cutting-edge AI solutions.“

• Steph Enders, Chief Delivery Officer

QUALIFICATIONS:

• Ph.D. in Machine Learning or related field with relevant experience in Machine Learning
• 7+ years of experience in machine learning engineering practice or research in a fast-paced, innovative environment
• 5+ years of demonstrated experience in Python programming, MLOps infrastructure (eg. Pytorch, Tensorflow, distributed LLM pre-training), systems administration or software development roles in a UNIX/Linux or large-scale high-performance computing environment (experience working with GPUs preferred), and in associated cloud computing commercial systems
• 3+ years of supervisory experience (nice to have)
• Experience with and passion for designing effective learning exercises, illustrations of technical concepts, training and evaluation tools
• Exceptional attention to detail with the ability to prioritize and meet project deadlines
• Inquisitive, interested in and able to test new educational tools and technologies

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.

ABOUT THE ROLE

The Director of Engineering leads the technical direction of infrastructure and internal systems that power Amii’s machine learning (ML) research and applied AI projects. The Director is crucial in optimizing AI workflows, managing critical systems, and coaching engineering talent to ensure excellence across teams. By collaborating with cross-functional teams, you align technical solutions with organizational priorities, providing secure, scalable infrastructure that drives innovation and AI productivity.
The Director of Engineering is responsible for developing and implementing scalable infrastructure solutions, optimizing AI workflows, and fostering technical talent. This position ensures that the engineering team operates with peak efficiency, addressing high-performance computing challenges while mentoring and growing internal talent.

The role focuses on achieving excellence in four principal accountabilities:

• Infrastructure and Systems Management
• Computing Strategy & Vision Alignment
• AI Workflow Optimization
• Technical Coaching and Training