Staff Machine Learning Engineer - Toronto Ontario Canada
Staff Machine Learning Engineer - Toronto Ontario Canada
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Job Description
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 youll tackle complex problems collaborate with kind and ambitious people and help build a more equitable worldall in a flexible awardwinning workplace.
Amid a rapidly evolving tech landscape our AI group is boldly redefining the future of operations.
We are on the hunt for a formidable Staff Machine Learning (ML) Engineer who is not only adept at architecting stateoftheart AI initiatives but who is also ready to mentor and inspire a team composed of Machine Learning Data Scientists and Software Engineers.
In this role you will actively contribute to and lead AIfirst 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 pushing the boundaries of whats possibleall while addressing critical short and longterm team goals.
In a world where customer adoption of new technologies is uncertain and competition is fierce we need Staff Engineering leaders who thrive under pressure are capable of operating at different levels of altitude and pave the way for a future where our products not only meet but exceed the aspirations of our existing and future customers.
Key Responsibilities:
- Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AIbased solutions
- Drive and define standards for AI/ML across the organization.
- Provide guidance technical leadership and mentoring to other members of the team
- Mentor junior members and participate in scaling up the existing team
- Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
- Anticipate technical demands on the data platform based on the organizations roadmap and systematically drive the evolution of the architecture toward those ends
- Develop a longterm plan for ML/AI investments
Minimum Requirements:
- You have 8 years of experience building designing and evolving data architecture for largescale systems
- Excellent communication skills
- Experience working with Product teams ensuring and driving a timely delivery
- Have a deep understanding of the tradeoffs to be considered when designing and delivering machine learning solutions to production
- Experience leading crossteam 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 cloudbased 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 the startoftheart
- Experience shipping reliable and scalable AI/ML products
- Prior experience in a SaaS environment
- Awareness of and experience with ML processes (exploration training testing deployment monitoring) technologies (services packages) and ML Operations
- Experience not only developing POCs / new products but developing products that customers are adopting and using at large scale
- A strong record of published work in technical forums contributions to open source projects or research innovations.
The base salary range for this position isCAD. This role may also be eligible for bonus commission equity and/or benefits.
Our base salary ranges are determined by role level and location. The range which is subject to change based on primary work location reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range we determine pay for an individual based on a number of factors including market location jobrelated knowledge skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role as well as the salary range for your primary work location during the hiring process.
This role is expected to come into our Torontooffice 1 day/month so you can thrive in your new role and fully embrace being a Dutonian!
Hesitant to apply
We encourage you to submit your resume even if you dont meet every requirement. We value potential and consider each candidates full professional story. Whether youre exploring a career change or taking your next step we look forward to reviewing your application. If this just isnt the right role or time sign up for job alerts!
Where we work
PagerDuty currently has offices in Atlanta Lisbon London San Francisco Santiago Sydney Tokyo and Toronto. We offer a hybrid flexible environment. We also provide ample opportunities for connection like team offsites and volunteering events.
How we work
What we offer
As a global organization our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more including countryspecific offerings on our benefits site.
Your package may include:
Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity*
ESPP (Employee Stock Purchase Program)*
Retirement or pension plan*
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent 12 weeks for nonpregnant parent (some countries have longer leave standards and we comply with local laws)*
Paid volunteer time off: 20 hours per year
Companywide hack weeks
Mental wellness programs
*Eligibility may vary by role region and tenure
About PagerDuty
PagerDuty Inc. (NYSE:PD) is a global leader in digital operations management enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud. The PagerDuty Operations Cloud combines AIOps Automation Customer Service Operations and Incident Management with a powerful generative AI assistant to create a flexible resilient and scalable platform to increase innovation velocity grow revenue reduce cost and mitigate the risk of operational failure. Half of the Fortune 500 and nearly 70 of the Fortune 100 rely on PagerDuty as essential infrastructure for the modern enterprise.
PagerDuty is Great Place to Workcertified a Fortune Best Workplace for Millennials a Fortune Best Medium Workplace a Fortune Best Workplace in Technology and a top rated product on TrustRadius and G2.
Go behindthescenes on our careers site and @pagerduty on Instagram.
Additional Information
PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race religion color national origin gender sexual orientation age marital status parental status veteran status or disability status.
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation please email and we will work with you to meet your accessibility needs.
PagerDuty uses the EVerify employment verification program.
Required Experience:
Staff IC
Employment Type
Full-Time
