Senior Machine Learning Engineer – PagerDuty Careers

Senior Machine Learning Engineer – PagerDuty (Toronto, ON / Hybrid)

About PagerDuty
PagerDuty, Inc. (NYSE: PD) is a global leader in digital operations management, trusted by nearly half of the Fortune 500 companies, two-thirds of the Fortune 100 companies, and many of the Forbes AI 50. With our AI-powered Operations Cloud, we enable enterprises to deliver consistently high digital experiences, orchestrate workflows, and continually enhance resilience.

Join us and be part of a flexible, award-winning workplace recognised as a Great Place to Work®, Fortune Best Workplace in Technology, and Fortune Best Workplace for Millennials.

Role Overview

PagerDuty is hiring a Senior Machine Learning Engineer to accelerate the development of AI-powered products. You’ll collaborate with data scientists, product managers, and engineers to design and deploy ML models, AI agents, and generative AI solutions in production. This senior-level role requires strong leadership, communication, and cross-team collaboration.

Key Responsibilities

• Build and improve capabilities that enable ML, generative AI, and agentic AI products

• Collaborate with applied scientists and product teams on large-scale initiatives

• Provide technical leadership and mentorship to junior engineers

• Lead the design and deployment of AI agents, models, and services in production

• Stay updated on the latest ML engineering trends and integrate innovations into workflows

Basic Qualifications

• 7+ years of experience delivering ML solutions to production

• Strong Python development skills (Elixir a plus)

• Experience with data modelling, ETL, unstructured data, cloud-based infrastructure (AWS)

• Proficiency with workflow management tools (e.g., Apache Airflow) and ML observability tools (Arize, Datadog, etc.)

• Familiarity with NLP, deep learning, generative AI, LLMs, and AI agents in production

• Strong communication skills and ability to partner across teams

Preferred Qualifications

• Experience with Kubernetes or other container orchestration systems

• Ability to lead large-scale solution design and execution

• History of presenting technical work at conferences or meetups

• Experience automating workflows with AI to enhance engineering productivity

Compensation & Benefits

• Base Salary: 137,000 – 207,000 CAD (plus potential bonus, commission, equity, and benefits)

• Comprehensive benefits package (from day one)

• Flexible hybrid work arrangements

• Company equity & ESPP (Employee Stock Purchase Program)

• Generous PTO, wellness days, parental leave, volunteer time off

• Retirement or pension plan (depending on location)

• Global hack weeks, mental wellness programs, and more

Location & Eligibility

PagerDuty operates on a hybrid model with offices in 8 major cities (Toronto, San Francisco, London, Sydney, Tokyo, etc.).
📍 Note: This role is not eligible for employment in certain provinces/states (e.g., Quebec, Alberta, Iowa, Hawaii, etc.). Candidates must reside in an eligible location.

Why Join PagerDuty?

At PagerDuty, you’ll work on high-impact, high-visibility projects shaping the future of ML and AI in enterprise solutions. You’ll collaborate with ambitious, kind colleagues while enjoying flexibility, equity, and career growth opportunities.

👉 Apply today and help us power the future of digital operations with AI.