Staff Machine Learning Engineer - Toronto, Ontario, Canada

Staff Machine Learning Engineer - Toronto, Ontario, Canada

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Half of the Fortune 500 and nearly 70% of the Fortune 100 trust PagerDuty as essential infrastructure.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace.

We are on the hunt for a formidable Staff Machine Learning (ML) Engineer who is adept at architecting state-of-the-art AI initiatives and ready to mentor a team composed of Machine Learning, Data Scientists, and Software Engineers.

In this role, you will actively contribute to and lead AI-first innovation across our customers' Operations powered by ML and Agentic AI solutions. You will be instrumental in developing groundbreaking proofs of concept, contributing to our AI strategy, and addressing critical team goals.

Key Responsibilities:

• Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
• Drive and define standards for AI/ML across the organization
• Provide guidance, technical leadership, and mentoring to other team members
• Mentor junior members and participate in scaling the existing team
• Proactively recommend improvements and new approaches addressing systemic pain points and technical debt
• Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture
• Develop a long-term plan for ML/AI investments
• Have 8+ years of experience building, designing, and evolving data architecture for large-scale systems
• Experience working with Product teams to ensure timely delivery
• Deep understanding of the trade-offs in designing and delivering machine learning solutions to production
• Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices
• Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
• Passionate about ML engineering and interested in driving discussions with stakeholders and executives

Preferred Requirements:

• Desire to keep learning new concepts and adapt to state-of-the-art technologies
• Experience shipping reliable and scalable AI/ML products
• Prior experience in a SaaS environment
• Awareness of ML processes (exploration, training, testing, deployment, monitoring) and technologies
• Experience developing products that customers are adopting and using at large scale
• A strong record of published work in technical forums or contributions to open source projects

The base salary range for this position is 156,000 - 232,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

This role is expected to come into our Toronto office 1 day/month to fully embrace being a Dutonian!

Apply for this job

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story.

Additional Information

PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.