Senior Computer Vision Engineer

vor 2 Wochen

Wien, Wien, Österreich AirTree Ventures Pty Vollzeit
Job Description

Join the team redefining how the world experiences design.

Servus, 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, Australia but Austria is home to part of our European operations. And you have 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.

Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha

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:

  1. Build ML models for AI-based photo editing. This also heavily involves staying up-to-date with the literature and evaluating state-of-the-art models that are applicable for commercial use.
  2. 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.
  3. Stay up-to-date with the very recent advances of AI for photo editing, and you bring new ideas to the team for new AI-based features that our team should build.
  4. Improve the quality of our existing features, by improving our quality evaluation processes and by bringing new ML ideas to the team.
  5. Boost the efficiency of our existing features through code optimization, incorporating new models or Python libraries, or by re-evaluating and speeding up our full stack.
  6. Collect data that we need for model training or model evaluation or you delegate that to the Data Labelling team.

You're probably a match if

  1. You have a Master's (ideally Ph.D.) degree in Computer Science (or similar), focusing on machine learning & published papers in peer-reviewed journals and conferences.
  2. You have a solid understanding of computer vision, especially the concepts of convolutional neural networks (CNNs), transformers, generative adversarial networks, and diffusion models.
  3. You are proficient with: Deep learning frameworks (Pytorch gives bonus points, alternatively other frameworks like Tensorflow or JAX), Python 3, Numpy, OpenCV, Docker & Kubernetes.
  4. You are able to pick up knowledge of the state-of-the-art 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).
  5. You have a deep understanding of machine learning at scale, including training sophisticated models on big datasets. You're experienced in deploying these models on cloud platforms to efficiently serve millions of users.
  6. 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 memory-efficient and runtime-efficient manner.
  7. 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 cutting-edge, AI based features that enhance the Photo Editing experience. Our spirit is to set realistic, but crazy-big 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 high-quality 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.

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:

  1. Equity packages - we want our success to be yours too.
  2. Inclusive parental leave policy that supports all parents & carers.
  3. An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more.
  4. 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.

At Canva we value fairness, and we strive to provide competitive, market-informed compensation whilst ensuring internal equity within the team in each region. We make hiring decisions based on your skills, experience and our overall assessment of what we observed and learnt in the hiring process. The starting salary for this position is EUR 70,000. When calculating offers, we make salary decisions based on market data and candidates' skills and experience.

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.

#J-18808-Ljbffr

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