PagerDuty is seeking a Staff Machine Learning Engineer to join their AI group in Lisbon. This role involves leading AI initiatives, mentoring team members, and driving AI-first innovation across customer operations. The Staff Machine Learning Engineer will develop proofs of concept, contribute to AI strategy, and address team goals.
Responsibilities:
- Build and improve data platform capabilities for ML/AI solutions.
- Drive and define standards for AI/ML across the organization.
- Provide guidance, technical leadership, and mentoring to team members.
- Recommend improvements and new approaches for systemic pain points.
- Anticipate technical demands on the data platform and drive architecture evolution.
- Develop a long-term plan for ML/AI investments.
Requirements:
- 8+ years of experience building, designing, and evolving data architecture for large-scale systems.
- Excellent communication skills.
- Experience working with Product teams, ensuring and driving a timely delivery
- Deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production.
- Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams.
- 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.
The role offers:
- Competitive salary
- Comprehensive benefits package from day one
- Flexible work arrangements
- Company equity
- Employee Stock Purchase Program
- Generous paid vacation time
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PagerDuty
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud combines AIOps, Automation, Customer Service Operations and Incident Management with a powerful generative AI assistant. This platform enables operational efficiency at scale, helping businesses increase innovation, grow revenue, reduce costs, and mitigate operational risks. Serving a significant portion of the Fortune 500 and Fortune 100, PagerDuty is recognized as essential infrastructure for modern enterprises. The company fosters a flexible and equitable workplace, emphasizing collaboration and innovation.