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Summary
About the Role
About You
- Professional or academic software delivery using Python.
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
- Experience with Linux (Debian or Ubuntu preferred).
- Professional written and spoken English with excellent presentation skills.
- Proven track record of building highly automated machine learning solutions or data pipelines.
- Hands-on experience with machine learning libraries or tools.
- Experience with container technologies (Docker, LXD, Kubernetes, etc.).
- Experience with public clouds (AWS, Azure, Google Cloud).
Benefits
- Distributed work environment with twice-yearly team sprints in person.
- Personal learning and development budget of USD 2,000 per year.
- Annual compensation review.
- Recognition rewards.
- Annual holiday leave.
- Maternity and paternity leave.
- Employee Assistance Programme.
- Opportunity to travel to new locations to meet colleagues.
We deliver open source to the world faster, more securely and more cost effectively than any other company. We're also the publishers of Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000+ contributors. Ubuntu means 'humanity to others'. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - this is the future of open source, which is why we're proud to be the developers of the fastest growing Linux in the world despite already being the most widely deployed. If you're interested in a career at Canonical, we are a remote-first company so please apply to any suitable role as skills are valued more than location, despite some having a preferred geographic preference. www.canonical.com