Senior Machine Learning Engineer - Photo AI

Canva
London
3 weeks ago
Create job alert

Join the team redefining how the world experiences design.

Hiya gday mabuhay kia ora hallo vtejte!

Thanks for stopping by. We know job hunting can be a little time consuming and youre probably keen to find out whats on offer so well get straight to the point.

Where and how you can work

The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney Australia London is our HQ for Europe with all kinds of teams based here plus event spaces to gather our team and communities. Youll experience a warm welcome from our Vibe team at front of house amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work.

What youd be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think thats all part of the fun. So this will give you the flavour of the type of things youll be working on when you start but this will likely evolve.

At the moment this role is focused on:

  • Build ML models for AIbased photo editing. This also heavily involves staying uptodate with the literature and evaluating stateoftheart models that are applicable for commercial use.
  • Take over project ownership responsibilities and drive projects with specialties like Frontend and Backend to success. This involves ownership of project timeline and collaboration with Design and Product to achieve the best fitting product for Canva.
  • Stay uptodate with the very recent advances of AI for photo editing and you bring new ideas to the team for new AIbased features that our team should build
  • Improve the quality of our existing features by improving our quality evaluation processes and by bringing new ML ideas to the team
  • Boost the efficiency of our existing features through code optimization incorporating new models or Python libraries or by reevaluating and speeding up our full stack.
  • Collect data that we need for model training or model evaluation or you delegate that to the Data Labelling team.

Youre probably a match if

  • You have a Masters (ideally Ph.D.) degree in Computer Science (or similar) focusing on machine learning & published papers in peerreviewed journals and conferences.
  • You have a solid understanding of computer vision especially the concepts of convolutional neural networks (CNNs) transformers generative adversarial networks and diffusion models.
  • You are proficient with: Deep learning frameworks (Pytorch gives bonus points alternatively other frameworks like Tensorflow or JAX) Python 3 Numpy OpenCV Docker & Kubernetes.
  • You are able to pick up knowledge of the stateoftheart of a specific ML topic quickly since most projects start with a phase of literature research and communicating the context to the team (across timezones).
  • You have a deep understanding of machine learning at scale including training sophisticated models on big datasets. Youre experienced in deploying these models on cloud platforms to efficiently serve millions of users.
  • You have a demonstrable sense of ownership and are eager to find and develop novel solutions to challenging problems such as developing ML models for processing large images in a memoryefficient and runtimeefficient manner.
  • You are an excellent communicator and teammate keen to work with your colleagues and brainstorm ideas together.


About the team

We are the Photo AI team. We push the boundaries of what is possible in Photo Editing and make a lasting impact on our users creative journeys. Our mission is to position Canva as a leader in Visual AI by consistently delivering cuttingedge AI based features that enhance the Photo Editing experience. Our spirit is to set realistic but crazybig goals where we dive into the unknown and make new things happen which is a collaborative effort from all the people in the team. We believe in the power of innovation and highquality delivery which is made possible through our ability to focus on what is more impactful for our users and through our ability to invent novel solutions to hard image processing and understanding problems. We are part of the Multimedia Group and together we make Multimedia (photo and video) storytelling quick simple and fun for everyone.

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 range 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 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 dont feel like your skills quite match whats listed above we still want to hear from you!

Please note that interviews are conducted virtually.


Remote Work :

Yes


Employment Type :

Fulltime


Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Vacancy:1

Related Jobs

View all jobs

Senior Machine Learning Engineer - Computer Vision

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Photo AI

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.