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PagerDuty // digital ops management
 
Engineering, Full Time    Toronto    Posted: Wednesday, December 02, 2020
 
   
 
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Together we're building a company that will endure & products people will love for generations to come.

We believe that people do their best in a culture that fosters inclusion, innovation, & success. Our values - Champion the Customer, Take the Lead, Run Together, Ack + Own & Bring Yourself - serve as the foundation of our collaborative & dynamic culture.

Whether it's conducting a retrospective, participating in our bi-annual hack weeks, cranking out a new product feature, supporting our two PagerDuty bands, or doing our day to day work, Dutonians live & breathe these five values every day. Together, we solve real customer issues & fulfill our mission of connecting teams to real-time opportunities & elevate work to the outcomes that matter.

We're building an inclusive workplace that represents the real, everyday people we support around the world. From how we build our teams to who sits in the boardroom, we hope you can see yourself at PagerDuty.

We are looking for a Senior Machine Learning Engineer who is passionate about shaping the future of Data & Machine Learning infrastructure at PagerDuty.
Our Data Ecosystem team's mission is to transform Transform how PagerDuty creates new possibilities with data by leveraging ML & data-driven applications to support incident response, surface operational insights, & improve the lives of our on-call responders through human & machine intelligence.
Our team is leading the way in developing data-driven services & ML workflows for our product development & Data Science Core teams.
In your role, you will work with cross-functional teams of Engineers, Data Scientists, product owners, & experience designers, enabling teams across the organization to quickly develop & scale machine learning & data products.
 
 
 
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