Machine Learning Engineer - Video AI - Remote across ANZ

Join the team redefining how the world experiences design.
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 a 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:
Building user driven ML features for Canva's Video editor.
Doing hands on ML algorithmic work involving audio and/or visual cues.
Engineering implementation:
developing and implementing ML models and features, as well as using third-party APIs and pre-trained models when appropriate.
Running offline and online experiments.
Contributing to the full life cycle of ML/data models:
data analysis, data preprocessing and pipeline, modelling, tuning and productisation.
Improving the scalability, speed and performance of existing models.
Working alongside data specialists, software engineers and product owners to identify business and growth opportunities.
Sharing and articulating statistical analysis, modelling, experiment and results to technical and non-technical audiences.
You're probably a match if Proven industry experience in a machine learning / software engineering role.
Experience building and deploying machine learning models in a cloud environment.
Strong understanding of end-to-end machine learning pipelines and components.
Strong coding proficiency in Python, interviews will be in Python.
Familiarity with several of the following:
TensorFlow, PyTorch, scikit-learn, Kubernetes, Docker, Solr/ElasticSearch.
Previous experience with computer vision / multi-modal approaches.
Experience with LLMs / Diffusion models is preferred.
Strong research skills:
the ability to dig through deep learning literature and translate this into product and value for users.
Strong understanding of Computer Science / Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
Excellent collaboration and communication skills.
About the team Video at Canva is embarking on an exhilarating journey that will redefine video editing and social media content creation for millions of users around the globe.
In the upcoming months, we will introduce a customer-focused, intuitive, and powerful video editing platform that seamlessly integrates with the Canva ecosystem, unlocking the full potential of the Visual Suite.
This enhanced editing experience will empower social media users to effortlessly bring their ideas to life, creating engaging and professional content that truly stands out.
At the Video-AI team, we are at the forefront of innovation, dedicated to transforming cutting-edge machine learning into user-friendly products.
We are making significant investments in developing a robust tech stack that not only meets but surpasses industry standards through improved architecture, ensuring high performance, fidelity, and a user-centric design.
The Machine Learning Engineering specialty is engaged in delivering value to Canva's users, by designing, building and maintaining complex production systems to apply statistics and machine learning at scale.
We're building a highly personalised Canva; developing and productionising user modelling that directly drives product features and targeting messaging and marketing; making it easy for users to discover over 100M+ templates, photos, videos and elements; applying ML to quickly find multimodal highlights and enhance voice in videos; and leveraging our unique design data to empower users to design.
We're looking to grow the team to continue to scale the impact of machine learning across Canva.
You'll be joining the video-ai team which is a fast moving cross-functional team, researching, spiking, building and shipping, machine learning-driven, video editing features to users and staff.
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.
•