PhD Research Scientist Intern

Canva

$157K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Current PhD student, ideally in 3rd year or later.
  • Experience in human-AI interaction, conversational agents, or user-modeling.
  • Ability to design, run, and interpret machine-learning experiments with scientific rigor.
  • Proficient in developing research code for data processing and model training.
  • Strong technical communication skills in writing and presentations.
  • Enjoyment of collaborative work with researchers and engineers on complex problems.
  • Effective cross-team communication skills.

Responsibilities

  • Develop synthetic data pipeline for user conversations with design agents.
  • Integrate user-simulation techniques with existing intent-labeling and clustering.
  • Measure realism gap and validation quality of synthetic data outputs.
  • Collaborate with evaluation, labeling, research, and product teams.
  • Contribute research findings to the community through publication where applicable.

Benefits

  • Flexible hybrid working model with options to work from home or in-office.
  • Access to a vibrant office space designed for collaboration and deep work.
  • Engagement in impactful, real-world industry projects during the internship.
Full Job Description
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.

At Canva, we value fairness, and we strive to provide competitive, market-informed compensation whilst ensuring internal equity within the team in each region. The salary for this position is fixed at $157,000. When calculating offers, we make salary decisions based on market data, your experience levels, and internal benchmarks of your peers in the same domain and job level.

Please note that interviews are conducted virtually.

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