Job Description: Staff Machine Learning (ML) Engineer at PagerDuty
PagerDuty empowers teams to accomplish critical work through the PagerDuty Operations Cloud.
Role Overview
We are seeking a Staff Machine Learning (ML) Engineer who is skilled in architecting innovative AI initiatives and mentoring a diverse team of Machine Learning, Data Scientists, and Software Engineers.
In this role, you will:
- Lead AI-first innovations and develop groundbreaking proofs of concept
- Contribute to AI strategy and push technological boundaries
- Address short and long-term team goals
Key Responsibilities
- Build and enhance the data platform supporting ML/AI solutions
- Define and drive AI/ML standards organization-wide
- Provide technical guidance, leadership, and mentorship
- Mentor junior team members and scale the team
- Recommend improvements for systemic pain points and technical debt
- Anticipate technical requirements based on the organization’s roadmap
- Develop long-term ML/AI investment strategies
Minimum Requirements
- 8+ years experience with data architecture for large systems
- Excellent communication skills
- Experience collaborating with product teams for timely delivery
- Deep understanding of ML solution design and deployment trade-offs
- Leadership in cross-team architecture discussions and prototyping
- Experience with unstructured data, cloud data infrastructure
- Passion for ML engineering and stakeholder engagement
Preferred Requirements
- Eagerness to learn and adapt to new concepts
- Proven track record with scalable AI/ML products
- SaaS environment experience
- Knowledge of ML lifecycle processes and MLOps
- Experience with large-scale product deployment
- Contributions to open source or research
Compensation & Work Environment
- Salary range: 156,000 - 232,000 CAD
- Additional benefits include bonus, commission, equity
- Office presence required 1 day/month in Toronto
About PagerDuty
PagerDuty is a leader in digital operations management, committed to diversity and equal opportunity.
Apply regardless of background; diverse candidates are encouraged.
Note: Uses E-Verify for employment verification.
Job Highlights:
- Leadership role in AI/ML
- Cross-functional team mentorship
- Data platform architecture
- AI innovation and strategy
- Competitive salary and benefits