Senior Machine Learning Engineer Content Enrichment

About the Group/Team

Were part of the Content Group in the Content & Discovery Supergroup. Our group crafts and scales the building blocks of Canvas extensive content library empowering every user to find the perfect content for their design. The Content Enrichment team is focused on elevating the quality relevance and classification of Canvas media through automation intelligent tagging and platform integrations. Our work fuels Canvas discovery engine and directly impacts user satisfaction and engagement.

By identifying and experimenting with advanced metadata improvements we directly amplify Search Impact ensuring millions of users find exactly what they need in an instant. Our work serves as the foundational intelligence that powers the Canva features the world loves. From Style Match and Magic Video to Canva AI our metadata is the one piece of the puzzle that unlocks these innovative experiences. If you use Canva youve felt our teams impact; we turn billions of data points into the seamless everyday functionality that empowers our 240 million monthly active users to create anything.

About the Role/Specialty

You will join a high-impact collaborative team of Machine Learning and Backend Engineers dedicated to operational excellence. As a Senior Machine Learning Engineer you will architect the intelligence that transforms how billions of media items are understood and surfaced leading strategic decisions on model architecture and LLM orchestration.

We tackle subjective challengeslike visual style aesthetics and semantic understandingthat require nuanced modelling and rigorous iteration beyond standard approaches. You are someone who thrives at scale but still sweats the details ensuring a high bar for quality and proactively identifying edge cases that impact user trust. Your goal is to build systems that are not just functional but truly great for our 240 million monthly users.

What youll do (responsibilities)

• You have more than 5 years of hands-on experience in designing and developing complex ML models especially in computer vision.
• You are experienced in R&D and conducting literature reviews on the latest ML techniques.
• You are proficient in PyTorch and setting up cloud ML infrastructure with familiarity in LLMs and prompt engineering as a must.
• You are familiar with embeddings and vector databases.
• You have experience working with microservices and large monorepos.
• You follow disciplined coding practices actively participate in code reviews and set best-practice standards for your peers.
• You possess strong written and verbal communication skills and excel in team collaboration. As a Canva engineer you take the time to fully understand the problem before diving into code.

Desirable:

• You hold a Masters or PhD degree in a machine learning discipline.

• You have experience with Ray Weights & Biases and Kubernetes.

• You have experience hosting LLM architectures and fine-tuning them through reinforcement learning.

• While this is a machine learning role our team operates at the intersection of Machine Learning and robust Platform Engineering. As we operate within a high-scale environment familiarity with Java is a bonus (not tested during interviews)

What were looking for

Were looking for someone who combines strong machine learning expertise with a passion for building systems that reach millions of users. You enjoy solving complex problems with data and working collaboratively across teams to turn ideas into scalable solutions.

Youre comfortable working with large datasets deploying models into production and continuously improving systems through experimentation and iteration. You communicate clearly with both technical and non-technical stakeholders and bring curiosity ownership and a growth mindset to your work.

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