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Senior Applied Scientist - AI Research

Job Description

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
Thanks for stopping by. We know job hunting can be a little time-consuming, and you're probably keen to find out what's on offer, so we'll get straight to the point.

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, and Adelaide. But you have the choice in where and how you work—we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you'd be doing in this role

As a Senior Applied Scientist, you will drive innovation in generative AI, developing and bringing new foundational models to unlock brand new use cases for Canva. You’ll have the opportunity to work on challenging AI research problems around creating new multimodal LLMs, that solve real-world problems and will be deployed to millions of users iteratively and rapidly. Your expertise will play a key role in shaping the future of AI at Canva, ensuring that we continue to push boundaries in creativity and automation.

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 and optimising Generative AI models to enhance Canva’s creative tools.
  • Researching, experimenting, and implementing state-of-the-art models for new generative AI applications.
  • Collaborating with machine learning engineers to scale and productionise ML models at a global scale.
  • Conducting rigorous experimentation to improve model accuracy, efficiency, and user experience.
  • Establishing best practices for model training, evaluation, and monitoring.
  • Leading key AI research initiatives that contribute to Canva’s innovation roadmap.

You're probably a match if you have:

  • You have a PhD or Master’s degree in Machine Learning, Computer Science, AI, or a related field; or demonstrated and proven practical experience in lieu.
  • You have strong expertise in deep learning, large language models, and foundational model development.
  • You have hands-on experience with Transformer-based architectures.
  • You are proficient in Python, TensorFlow/PyTorch, and cloud-based AI frameworks and tools.
  • You can collaborate across disciplines and translate research into impactful product features.
  • You have a strong ability to work across the full process of training multimodal LLMs, from pre-training to fine-tuning.
  • You are experienced with leveraging automated and human evaluations.
  • You are well-versed in Computer Science/Engineering fundamentals, including system design, data structures, architecture, and design patterns.
  • You are proficient in Python and familiar with ML technologies like Jupyter Notebook.
  • You have a good understanding of the life cycle of machine learning models.
  • You are a strong communicator, capable of documenting and presenting ideas clearly to share knowledge across Canva.

About the team

At Canva, we believe that AI can unlock new levels of creative potential. The AI Research Group pioneers and applies advancements in Generative AI to build cutting-edge models that power unique new features. You’ll be working in a small, high-autonomy team focused on training new foundational models that integrate seamlessly with Canva’s unique design ecosystem. We collaborate closely with engineers, designers, and product managers to unlock new AI-driven experiences that empower hundreds of millions of users worldwide.

What's in it for you?

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

Here’s a taste of what’s 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 well-being, social connection, office setup & more.
  • Flexible leave options that empower you to be a force for good, take time to recharge, and support you personally.

Check out lifeatcanva.com 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.

We celebrate all types of skills and backgrounds at Canva, so even if you don't feel like your skills quite match what’s listed above—we still want to hear from you!

Please note that interviews are conducted virtually.

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Average salary estimate

$140000 / YEARLY (est.)
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$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Applied Scientist - AI Research, Canva

Join Canva as a Senior Applied Scientist - AI Research and become part of a team that's transforming the way the world experiences design! At our flagship campus in Sydney, you'll have the opportunity to delve into the forefront of generative AI, where your innovations will create new foundational models that open up exciting new use cases for Canva. In this role, you'll tackle complex AI research challenges, focusing on developing multimodal large language models (LLMs) that address real-world problems for millions of users. Your expertise will help drive essential AI initiatives that will not only enhance Canva's creative tools but also lead to groundbreaking applications in the industry. You'll collaborate with talented machine learning engineers to scale and implement cutting-edge models globally while conducting rigorous experimentation to optimize model accuracy and user experience. As the landscape of AI continues to evolve, your leadership in AI research will ensure that Canva remains at the forefront of creativity and automation. If you possess a PhD or Master’s degree in relevant fields or have substantial practical experience, and are skilled in deep learning, Python, TensorFlow/PyTorch, and model lifecycle management, we’d love to hear from you. At Canva, we pride ourselves on fostering a supportive and inclusive environment where unique perspectives are celebrated. Come be a part of this exciting journey and help shape the future of design!

Frequently Asked Questions (FAQs) for Senior Applied Scientist - AI Research Role at Canva
What are the key responsibilities of a Senior Applied Scientist - AI Research at Canva?

As a Senior Applied Scientist - AI Research at Canva, your primary responsibilities will include driving innovation in generative AI by developing foundational models that enhance Canva's creative tools. You'll conduct rigorous research, optimize models for accuracy and efficiency, and lead key AI research initiatives that are integral to Canva’s innovation roadmap.

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What qualifications are needed for the Senior Applied Scientist - AI Research role at Canva?

To qualify for the Senior Applied Scientist - AI Research position at Canva, candidates should ideally possess a PhD or Master’s degree in Machine Learning, Computer Science, AI, or a related field. Proven practical experience in lieu of formal education is also acceptable. Strong expertise in deep learning, large language models, and hands-on experience with Transformer-based architectures are essential.

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What programming skills should a candidate have for the Senior Applied Scientist - AI Research position at Canva?

Candidates for the Senior Applied Scientist - AI Research role at Canva should be proficient in Python and familiar with ML technologies such as TensorFlow and PyTorch. Additionally, knowledge of cloud-based AI frameworks and tools, along with experience in Jupyter Notebook, will be highly beneficial for success in this position.

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How does collaboration work within the AI Research team at Canva for the Senior Applied Scientist role?

In the Senior Applied Scientist - AI Research position at Canva, collaboration is crucial. You will work closely with machine learning engineers, designers, and product managers to successfully implement AI-driven features that enhance user experience and align with Canva's design ecosystem. This interdisciplinary teamwork fosters innovation and creativity within the company.

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What benefits can a Senior Applied Scientist - AI Research expect at Canva?

As a Senior Applied Scientist - AI Research at Canva, you can look forward to a variety of benefits including equity packages, an inclusive parental leave policy, an annual Vibe & Thrive allowance for personal well-being, and flexible leave options that encourage a healthy work-life balance. Canva is deeply committed to supporting the growth and happiness of its employees.

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Common Interview Questions for Senior Applied Scientist - AI Research
Can you explain your experience with generative AI and its applications?

When answering this question, focus on specific projects where you implemented generative AI solutions, detailing the tools and models you used. Discuss any quantifiable results or impact your work had on users or processes.

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How have you worked with multimodal large language models in the past?

Describe your experiences with multimodal LLMs, pointing out specific challenges you faced during their implementation. Highlight how you approached these challenges and the outcomes of your efforts, showcasing your innovative thinking.

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What programming languages and frameworks are you proficient in, and how have you applied them?

Discuss your proficiency in languages such as Python, and frameworks like TensorFlow or PyTorch. Provide examples of projects where you effectively used these tools, emphasizing the contributions you made through your coding skills.

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Can you outline your approach to model training and evaluation?

Detail your methodology for model training and evaluation, including any specific practices you follow (e.g., data pre-processing, model selection, and validation). Emphasize how your approach improves accuracy and efficiency in your models.

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How do you handle collaboration across different disciplines?

Share your strategies for effective collaboration, such as communication techniques or project management tools you utilize. Discuss an experience where cross-discipline teamwork led to a successful project outcome.

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What innovative AI research initiatives have you led or participated in?

Highlight specific AI research initiatives where you played a significant role. Talk about your contributions, the challenges faced, and the ultimate impact of the project. Showing how your initiatives align with company goals will be beneficial.

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Describe a technical challenge you faced in your previous work and how you overcame it.

Discuss a particular challenge, detailing the steps you took to troubleshoot and solve the issue. Emphasize the skills and knowledge that enabled you to tackle this problem effectively.

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How do you stay updated on the latest AI and machine learning trends?

Talk about the resources you use to keep informed, such as industry journals, academic papers, or conferences. Illustrate your dedication to continuous learning and how you apply fresh ideas to your work.

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Can you give an example of how you've translated research into product features?

Provide a specific instance that illustrates how your research led to a practical application within a product. Discuss the process you followed, the challenges encountered, and the benefits realized by the end-users.

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What role do you believe AI plays in enhancing creative tools like those at Canva?

Articulate your thoughts on the synergy between AI and creative tools. Discuss the transformative potential of AI in design, productivity, and user engagement, tying this back to how your expertise could benefit Canva.

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Canva is revolutionizing the design process around the world. The company provides a user-friendly online platform that enables anyone to produce stunning, professional designs - granting them easy access to the realm of visual communication.

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BADGES
Badge Bipoc LedBadge Women LedBadge ChangemakerBadge Future MakerBadge InnovatorBadge Future UnicornBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Passion for Exploration
Dare to be Different
Empathetic
Growth & Learning
BENEFITS & PERKS
Paid Holidays
Medical Insurance
Equity
401K Matching
Learning & Development
Social Gatherings
Flex-Friendly
Maternity Leave
Paternity Leave
Sabbatical
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 23, 2025

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