Lead Machine Learning Engineer - Content Group

5 Months ago • All levels • Editorial

Job Summary

Job Description

Canva seeks a Lead Machine Learning Engineer to co-own and deliver the AI/ML roadmap for its Content Group. Responsibilities include partnering with product and engineering teams, advocating for AI/ML across teams, developing prototypes, educating colleagues, and contributing to the full ML lifecycle (data analysis, preprocessing, modeling, and productization). The ideal candidate possesses strong experience building and deploying ML models, expertise in content-related ML projects (semantic tagging, classification, visual understanding), Python proficiency, familiarity with various frameworks (PyTorch, AnyScale, etc.), and a strong understanding of CS fundamentals. The role involves collaborating with data specialists, software engineers, and product owners to identify business opportunities and advocating for AI adoption across the group. The position offers a flexible work arrangement across multiple Australian locations.
Must have:
  • Build and deploy ML models
  • End-to-end ML pipeline experience
  • Content-related ML project experience
  • Strong Python coding skills
  • Experience with PyTorch, AnyScale, etc.
  • Strong CS fundamentals
Good to have:
  • Data warehouse skills (SQL)
  • Applied research skills
Perks:
  • Equity packages
  • Inclusive parental leave
  • Annual Vibe & Thrive allowance
  • Flexible leave options

Job Details

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 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 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:

  • Co-owning and delivering the AI/ML roadmap for the Content group.
  • Accountable for the delivery of the primary identified opportunities in Content, partnering with product and engineering teams.
  • Advocate for AI/ML across teams in Content, facilitating ideation and discovery of use cases; develop quick prototypes; educate PMs, designers, and engineers on what’s possible.
  • Contributing to the full life cycle of ML/data models: data analysis, data preprocessing and pipeline, modelling, tuning and productisation.
  • Working alongside data specialists, software engineers and product owners to identify business and growth opportunities.
  • Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on problems that require intra-group and cross-supergroup solutions.
  • Advocating uptake of AI where relevant and required across the Group.

You're probably a match if

  • You have solid experience building and deploying machine learning models and a strong understanding of end-to-end machine learning pipelines and components.
  • You have worked with a multi-skilled team to deliver a great experience to users.
  • You have a keen interest or prior experience in content-related machine learning projects, such as semantic tagging, content classification, and visual content understanding (highly desirable).
  • You have strong coding proficiency in Python; interviews will be in Python.
  • You are familiar with several of the following: PyTorch, AnyScale, WeightsAndBiases, Kubernetes, Docker.
  • You have a strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
  • You have exposure to data warehouse skills, such as SQL.
  • You have applied research skills with the ability to dig into academic & industry publications and translate this into products and value for users.


About the team

The Content Group is a collection of several groups whose mission is to “build the most inspiring, diverse, and truly local content library on a global scale”.

The Content group is a “group of groups” comprising four main areas:

  • Content Partnership and Acquisition
  • Content Platform
  • Content Review
  • Content Strategy and Experience

Machine Learning and Artificial Intelligence play an increasingly vital role in how we drive experiences through our content library. The Lead MLE in the Content Group, would be responsible for working with the engineering and product leaders to set the ML strategy across teams and ensure delivery of all relevant projects in the Content group.

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 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 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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