Senior Machine Learning Engineer
Vor 2 Tagen
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 workOur 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 roleAs a Senior Machine Learning Engineer working across the various domains in Martech, you will be using your advanced machine learning and programming skills with Product Managers (PMs) and Engineering Managers to develop ways of leveraging data to make better, smarter product decisions and outcomes.This work includes (but is not limited to):Product development: work with PMs to explore and understand problem spaces, helping to plan and execute the productionisation of machine learning models to solve business problems at scale.Automated decisioning: leveraging data to build automated systems that scale a marketer's work to bring valued potential customers to Canva.Asset creation at scale: keep up with the latest breakthroughs, such as in generative AI, to apply them to creatives automation in order to speed up and scale the work of our marketers at Canva, such as resizing marketing assets for various marketing channels.Research and development: comfortable with challenging problems and high uncertainty in the ad and content generation space, and a pragmatic attitude in building solutions.You're probably a match ifYou have industry experience building and deploying machine learning models.
Strong understanding of end-to-end machine learning pipelines and components.You have experience working with a multi-skilled team to deliver a great experience to users.You have strong coding proficiency in Python.You are familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Kubernetes, Docker, Solr/ElasticSearch.You have a strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.You have strong research skills with the ability to dig through deep learning literature and translate this into products and value for users.About the teamMartech's mission is to deliver intelligent & innovative marketing solutions to drive meaningful business outcomes.
We are a small-but-mighty group that builds products and technologies to support our marketing efforts globally.
We focus on solutions that:Increase our return on investment and make us as efficient as possible.Step change scalability and allow our marketers to expand their efforts across multiple markets and channels, quickly.Change the game by focusing on net new capabilities and not just our short-term pains.Build the company by ensuring we do things the right way.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 tooInclusive parental leave policy that supports all parents & carersAn annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & moreFlexible leave options that empower you to be a force for good, take time to recharge and supports you personallyCheck out lifeatcanva.com for more info.Other stuff to knowWe 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 youPlease note that interviews are conducted virtually.
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