Senior Machine Learning Engineer Private Search Quality (AU remote)

About the Group/Team

Were the Discovery group part of Canvas Content & Discovery supergroup. Our mission is to enable every user to effortlessly find content that empowers them to design. Within the group the Private Search Quality team owns helping users find their own personal team and branded content the search experience people rely on every time they go looking for something theyve already made or been given access to.

About the Role/Specialty

As a Machine Learning Engineer on Private Search Quality youll work on the ranking and relevance systems behind how Canva surfaces private team and brand content. That means building and improving ML ranking models and lifting relevance for all users and helping the teams search results hold up as usage patterns and content types keep expanding including newer surfaces like agent-driven search. It also means working with our Backend Engineers with our ElasticSearch and Vector Search databases. Youll take ownership of scoped projects end-to-end from problem framing through to shipped measurable impact on search quality.

There is a strong emphasis on experimentation and iterating on learnings to get the best outcomes for our users.

What youll do (responsibilities)

• Build evaluate and improve ML ranking models for private team and brand content search

• Drive relevance and recall improvements with a particular focus on enterprise user outcomes

• Work on intelligent result understanding search recovery and exact title match to help users navigate results

• Contribute to indexing with a variety of technologies including ElasticSeach/OpenSearch Vector search and annotation

• Extend private and brand search quality and coverage into newer surfaces like agent search

• Investigate and resolve quality or relevance regressions in production search

• Communicate technical trade-offs clearly including to non-technical stakeholders and share knowledge across the team

What were looking for:

Youve got hands-on experience building and shipping ML systems in production ideally in search ranking LTR or relevance not just training models in a notebook. Youre comfortable defining and moving the metrics that matter (relevance recall ranking quality) rather than just chasing model accuracy in isolation. You can take a scoped project from idea to shipped with minimal guidance bringing your own judgement to how a problem should be solved rather than needing a fully defined solution handed to you. Youre highly autonomous comfortable with ambiguity as search surfaces and user needs evolve and you want your work to show up in something real people use every day.

What Youll Learn & Build

• Deep experience building and improving production ranking and relevance systems at Canvas scale

• Exposure to how ML product and infra decisions intersect across the wider Discovery group

• The chance to work on emerging surfaces like agent-driven search as the space develops

Additional Information :

Dont tick all the boxes Dont worry about that - nobody does!  

Wed still love to hear from you! At Canva we know that great engineers come from a variety of backgrounds and we value passion curiosity and a willingness to learn just as much as specific experience. If youre excited about this role but dont tick every box we encourage you to apply you might a great fit in ways you didnt expect!

Whats in it for you

Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic connectivity and fun woven throughout life at Canva too. We also offer a stack of benefits to set you up for every success in and outside of work.

Heres a taste of whats 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   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.

All interviews are conducted virtually

Remote Work :

Yes

Employment Type :

Full-time