Senior Machine Learning Engineer - Specialist Platform and Experience

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 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

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
You will join a team who are building custom software to make a magical support experience. You will identify and lead engineering projects where Machine Learning can have an outsized impact. The projects you lead will typically involve several other engineers.

As a Senior Machine Learning Engineer you will be responsible for mentoring and leadership within the team, in particular building capacity with the other engineers in the group. You will partner closely with other teams and crafts to deliver projects and build your communication skills.

This role will require strong software engineering skills and presents an exciting opportunity for an experienced engineer to drive the adoption of Machine Learning to solve operational and technical problems.

Your typical responsibilities will include

• Identify where AI and ML solutions can be introduced to drive a better support experience
• Mentor other engineers to build their skills with ML
• Assist in vendor selection and configuration for AI enabled tools such as copilots
• Work on customising LLM models that will impact millions of Customers every month
• Stay on top of the rapidly evolving state-of-the-art within Natural Language Generation space.
• Study best practices, develop new approaches and work on prototypes while evaluating their performance
• Customize and fine-tune LLM’s using open source models such as LLama, Falcon and etc.

You're probably a match if

• You have demonstrated experience in identifying where AI can be introduced to solve business problems and then driving projects to completion to solve these problems.
• You have extensive experience in applying Machine Learning on large-scale systems.
• You have an excellent sense of ownership and like to take the initiative to suggest and develop novel solutions to challenging problems proactively.
• You are an exceptional communicator and team player, eager to work with your colleagues to brainstorm ideas and willing to jump in and find solutions.
• You have a solid understanding of NLP, especially the concepts of Large Language Models, Prompt Engineering and Fine Tunning (ideal)
• Proficiency with the following technologies is desirable to be set up for success in this position: Deep Learning Frameworks such as PyTorch and Tensorflow, Python 3, Numpy, Langchain.
• You have a solid understanding of modern software engineering principles.
• You are able to communicate complex concepts with non-technical audience and get them excited on embracing AI to make their work better.

About the team

Global User Voice Enablement is the group that empowers our support specialist, our mission is to “To delight users in every interaction with Canva, by empowering every specialist.” Within this group the Specialist Platform and Experience (SPXP) team is responsible for the custom tooling that we use to deliver a magical support experience.

Come and join us if you enjoy:

• Helping people. People reach out to support when they have a problem and we are building tools that enable people to fix their problem and get back to making beautiful designs
• Driving change. As the representative of the Machine Learning speciality in the group you will identify projects where a MLE approach can solve a problem in a way we didn’t consider before.
• Empowering others. We build tools that enable teams to achieve results that they could not have managed otherwise
• Close partnerships. The users of our tools are Canvanauts on the same mission to deliver a magical, differentiated support experience. The best results come when engineering and support combine to help people.
• Solving root causes of problems. To create the best support experience you need to shift left and address the root of the problem, not just the problem that appears today.
• Continuous learning. We want people who enjoy sharing knowledge, conducting workshops, and encouraging exploration of new technologies and methodologies.
• A positive, supportive culture. Team members are keen to lean in, collaborate, and celebrate success together

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 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.