Specialty
The role
Canonical is hiring an engineering manager to lead its MLOps and analytics team, working with open source machine learning tools such as Kubeflow, MLflow and Feast. Globally remote role, with the team spread across time zones.
What you will do
- Manage a distributed team of engineers and its MLOps and analytics portfolio
- Run team processes and hold regular one-on-ones
- Review code and measure team health indicators
- Mentor direct reports
- Represent Canonical's MLOps products at conferences and with the community
What they ask for
- Proven record of professional software delivery
- Professional Python development experience, ideally in open source
- Understanding of the machine learning space
- Experience designing and implementing MLOps solutions
- Willing to travel up to four times a year for events
- Nice to have: Docker or Kubernetes, public clouds, Linux and building ML models
What they offer
- Fully distributed work, with in-person team sprints or company events
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review and a performance-driven annual bonus
- Recognition rewards
- Annual holiday leave plus maternity and paternity leave
- Employee assistance programme
This is our own short reading of the posting. The full description, and anything that has changed since, is on Canonical's careers page behind the apply button.
