PhD Research Scientist Intern

Sydney, au on site Until 10/6/2026 3+ years exp H-1B sponsor history First posted August 7, 2026 Last posted August 7, 2026
Job description

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!

We’re looking for current PhD students ready to bring their research into the real world and help shape the culture of AI at Canva.

Our full-time, 16 week AI Research Internship starts in September. During your internship, you’ll work directly with Canva’s AI team on a live, industry-scale project, turning part of your PhD journey into real world impact.

You’ll gain hands on experience with real data, production infrastructure and real deadlines, while learning from and working alongside the researchers and engineerings creating Canva’s next generation of AI-powered experiences.

Where and how you can work

This role is based in Sydney, and we’re looking for someone who calls it home. Our hybrid way of working gives you flexibility - you’ll have the option to work from home as well as connecting and collaborating with your team in-person, on campus. We trust teams to choose the balance that empowers them 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:

  • Task-specific parameter pruning of foundational video generative models.

  • Combining pruning with complementary optimisation techniques (e.g., DMD, LoRA-based methods).

  • Measuring compute cost, latency, and quality trade-offs with rigorous evaluation.

  • Collaborating with research, engineering, and product teams to move findings toward production.

  • Contributing to the broader research community through publication where results support it.

You’re probably a match if you have:

  • You’re currently completing a PhD (ideally third year or later).

  • You have experience training generative models.

  • You can design, run, and interpret machine-learning experiments with strong scientific rigour.

  • You can develop research code for data processing, model training, and evaluation.

  • You communicate technical work clearly in writing and presentations.

  • You enjoy collaborating with researchers and engineers on technically challenging problems.

  • You’re a clear communicator who can collaborate effectively across teams

At Canva, we're building a future powered by AI that's as magical as it is impactful. As a Generative AI Research Scientist Intern at Canva, you'll advance the frontier of agentic AI—building autonomous systems that can reason, plan, use tools, and act on behalf of hundreds of millions of users. You'll explore the boundaries of what agents can achieve in real-world productivity and creative scenarios, and bring that research into Canva's core product experiences—across design, presentations, documents, spreadsheets, video, and other multimodal creation and collaboration workflows.

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.

Please note that interviews are conducted virtually.

About this role

Summary

Conduct AI research on generative models, optimize, evaluate, and collaborate on production projects.

Job title

PhD Research Scientist Intern

Experience level

third year PhD or later

Minimum experience

3+ years exp

Industry

software

Location requirements

Sydney-based with hybrid remote options

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

training generative modelsmachine-learning experimentsresearch code developmentscientific communication

Preferred skills

None specified

Specializations

generative modelsmachine learningAI researchparameter pruningmodel training
Locations

Structured locations inferred from the posting.

Sydney NSW, Australia

Hybrid City