Job Description
Join the team redefining how the world experiences design.
Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
Where and how you can work
Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, and Adelaide. But you have a choice in where and how you work; we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
What you'd be doing in this role
- Applying your product/platform mindset to define the Machine Learning and Python specialty roadmap for the group.
- Actively participating in solution design meetings, hiring interviews, and code reviews.
- Building and delivering solutions to improve the Python and Machine Learning engineering experience at Canva.
- Constructing better tooling and metrics so that we, and our platform users, understand and can respond to the health of our systems.
- Improving and updating documentation while defining best practices and guidelines for Python and ML engineering.
- Mentoring and guiding other engineers, supporting their professional growth and development.
You're probably a match if:
- You demonstrate self-motivation and a strong sense of ownership over complex problems and their solutions.
- You're passionate about engineering excellence, systems architecture, and non-functional requirements.
- You're focused on fostering team collaboration and achieving collective success through shared challenges.
- You have solid expertise in Python development, which is essential, and experience with modern development tools such as Bazel or Nix is a plus.
- You have experience with containerization, Terraform, and GitOps principles for automation and deployment, which are highly valued.
- You have prior experience or willingness to learn about ML concepts and applications, with a strong desire to integrate ML capabilities into existing infrastructure.
- While experience with ML frameworks such as pandas, NumPy, PyTorch, Ray, and TensorRT is advantageous, it's considered good-to-have rather than a strict requirement. Hands-on experience with CUDA as a platform operator is desirable.
About the team
You'll be joining the Language Ecosystem team, whose mission is to uplift language and ecosystem support across Developer Platform products. Working directly with teams across the group, your role will focus on enhancing support for specific language-related workflows and delivering solutions that eliminate capability gaps.
- Collaborate closely with engineers across the organization to understand their requirements and jointly design platform infrastructure solutions with a strong emphasis on Python.
- Work alongside Developer Platform product managers and leadership to define priorities and roadmap for ML and Python-related initiatives within the team.
- Proactively engage with engineers across Developer Platform by seconding into teams and collaborating on projects to uplift Python and ML expertise. Provide hands-on guidance and servant leadership to empower teams in owning and operating platform products supporting Python and ML.
This role offers an exciting opportunity to drive innovation in Python and ML engineering practices and contribute to the development of a unified and resilient system architecture. If you're passionate about leveraging Python and ML technologies to solve complex problems and thrive in a collaborative environment, we'd love to hear from you.
What's in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.
- Equity packages - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Check out lifeatcanva.com for more info.
Other stuff to know
We make hiring decisions based on your experience, skills, and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you!
Please note that interviews are conducted virtually.