INTERNSHIP DETAILS

PhD Research Scientist Intern

CompanyCanva
LocationSan Francisco
Work ModeOn Site
PostedAugust 6, 2026
Internship Information
Core Responsibilities
The intern will develop synthetic data pipelines for design agents and collaborate with research and product teams to evaluate model performance. They will also contribute to the broader research community through publications and methodology development.
Internship Type
intern
Company Size
18391
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a huge library of fonts, stock photography, illustrations, video footage, and audio clips, anyone can take an idea and create something beautiful on Canva on any device, from anywhere in the world. Since our launch in 2013, we’ve had the crazy big goal of making design accessible to everyone. We were founded on the belief that people shouldn't need to understand complex software to unlock their creativity. We’re leveling the playing field and democratizing access to design and visual communication by empowering 100% of the world to communicate in a way that was once limited to the 1%. We've always had a deeper mission surrounding Canva — which we talk about as our 'simple' two-step plan: to build one of the world’s most valuable companies, and to do the most good we possibly can. We're committed to our core value of Being a Force for Good, so as the value of our company grows, so too does our ability to have a positive impact on the world.
About the Role

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

Our global HQ is in Sydney, Australia, and as we continue to grow in our largest global market, we’ve made our way from down under to San Francisco.

Our Jackson Square campus blends the neighbourhoods vibrant downtown charm with Canva’s signature flair. The space is designed for both deep work and collaboration, along with spaces for Canvanauts to relax, recharge and connect.

This role is based in San Francisco, 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:

  • Developing a synthetic data pipeline that produces conversations with our design agent — user turns, tool calls, and design-state changes — conditioned on personas and statistical criteria on requests derived from real usage.

  • Combining persona-conditioned user-simulation techniques (e.g. evolved/adversarial personas, dual-control agent frameworks) with our existing intent-labeling and clustering pipeline, to keep synthetic output in-distribution with real usage.

  • Measuring realism gap, distributional fit, and downstream evaluation quality (separability and agreement against our existing ELO rankings) with rigorous, reproducible validation.

  • Collaborating with the eval/labelling, research, and product teams to determine whether and how synthetic data can substitute for real user-generated content in evaluation.

  • Contributing methodology and findings back to the broader research community through publication where results support it — this is an active, largely unsolved area of research.

You’re probably a match if you have:

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

  • You have experience with human-AI interaction, conversational agents, or user-modeling research.

  • 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.

  • Recruitment type: Intern
  • Key Skills
    Machine LearningSynthetic DataHuman-AI InteractionConversational AgentsUser ModelingResearchData ProcessingModel TrainingEvaluationPythonTechnical CommunicationCollaborationAgentic AIStatistical Analysis
    Categories
    Science & ResearchTechnologySoftwareData & AnalyticsArt & Design