Senior Machine Learning Engineer Training Data & Evaluation Tooling

Join the team redefining how the world experiences design.
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 choice in where and how you work (including remote), we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
About the team
Canva's Generative AI Platform Group is responsible for the delivery of capabilities which empower transformational ML and AI initiatives, from early ideation and prototyping, through to scaling to meet the needs of millions of Canva users in production.
We empower thousands of engineers and product managers to deliver amazing product features which harness the power of cutting-edge technologies.
The Training Data & Evaluation Tooling team is a new team, established to provide the engineering backbone for the operationalisation of the production of training and evaluation data; and to develop tools, services and processes to enable product engineers and our Generative AI super group to rapidly move from idea to a powerful user experience as effortlessly as possible.
What you'll do

Research, develop and deploy AI based solutions to automate the evaluations of our core design and conversational assistant products.
Collaborate with other platform and product teams to build AI powered solutions in labelling and preprocessing large volume of unstructured data.
Facilitate knowledge sharing and effectively advocate for engineering needs.
Model initiative and ownership in achieving goals, e.g.
learning and maximising the use of the Canva engineering landscape, technical systems, ways of working and delivering outcomes.
Contribute to defining, improving, and codifying best practices.
Participate in design and code reviews.

You're probably a match if

You have 5 years of industry experience in the machine learning/software engineering role with a Product/SaaS company, visual AI experience preferred.
You are experienced in building and deploying machine learning models and have a strong understanding of end-to-end machine learning pipelines and components.
You have great research skills with the ability to stay abreast of the latest developments in deep learning and AI.
You are capable to translate cutting-edge research into practical solutions that enhance Canva's content library and user experience.
You are proficient in Python coding, interviews will be in Python.
You have a solid understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
You have a Bachelor's degree in Computer Engineering/Science or Mathematics.
Familiarity with models commonly used for evaluation or LLM as a judge is a bonus.
Disciplined coding practices, and experience with code reviews and pull requests.
You model best practices to your peers.
Strong communication and team collaboration skills, both written and verbal.
A Canva engineer strives to understand the exact problem before jumping into writing code.

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.
Here's a taste of what's on offer:


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 support 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.
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