Senior Machine Learning Engineer - Recommendations

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.

At the moment, this role is focused on

• Designing, implementing, and refining machine learning models to deliver personalized recommendations.
• Optimizing the existing code structure and enhancing the performance of our machine learning systems.
• Investigating research papers and state-of-the-art machine learning models and see how they can be applied at Canva.
• Conducting online and offline experiments to validate model performance and make data-driven adjustments to optimize outcomes.
• Ensuring seamless integration and performance across our technology stack - machine learning models with our backend code,
• Collaborating closely with product and engineering teams to integrate and deploy new recommendation features and enhancements.
• Documenting work and communicating findings to both technical and non-technical stakeholders to support strategic decision-making.

You're probably a match if

• You are an experienced Machine Learning Engineer who excels at applying machine learning techniques to solve real-world problems. You should be adept at designing and refining recommendation systems, comfortable working with large datasets, and skilled in programming and statistical analysis.
• You have proven experience in developing and optimising machine learning models, especially in the context of recommendation systems.
• You have proficiency in programming languages such as Python, and experience with data analysis and machine learning libraries such as PyTorch, pandas, scikit-learn, numpy.
• You have strong analytical skills, with experience in evaluating model performance and making data-driven improvements.
• You have excellent communication skills, with the ability to explain complex technical concepts to a diverse audience.
• You have a collaborative mindset and a passion for working with cross-functional teams to achieve shared goals.

About the team

Canva is full of AI-powered magic, but our ML-powered Recommendations may very well be the most-used machine-learning system at Canva. Serving over one hundred million users every month, our recommendations help Canva users find exactly what they’re looking for before they know they’re looking for it, so these recommendations have to be on point. We are always working with cutting-edge technology, reading new research papers, and running dramatic experiments to improve our recommender systems.

The Recommendations team is a great fit for someone looking to make a huge impact on Canva Users by employing the latest in Machine Learning Research. A few of the Recommender Systems that we own:

• Recommending Canva templates to users to get them started with their design, helping them jump-start their creative process.
• “Magic Recommendations” for images, graphics, video and audio, enabling users to automatically find the perfect content to enhance their designs.
• Design-aware recommendations for images, graphics inside the Canva Editor.
• Recommendations for Canva Creators you might like to follow.
• Recommendations for Fonts you might like to use.
• And many more!

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.