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Canva

Senior Machine Learning Engineer (User Trust & Safety) - Open to remote across ANZ

Remote Sydney, Australia
Machine Learning Python PyTorch Elasticsearch Deep Learning API TensorFlow Kubernetes Docker SQL
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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. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. 


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.

The Machine Learning Engineering specialty is engaged in delivering value to Canva’s users, by designing, building and maintaining complex systems to apply statistics and machine learning at scale, and multiplying manual effort with data intelligence. This includes making it easy for users to discover over 75M+ templates, photos, videos and elements; messaging, marketing and building engagement with users; and making it easier for users to design safely. We're looking to grow the team to continue to scale the impact of machine learning and data science across Canva.

Trust & Safety Group

The Trust & Safety (T&S) Group's vision is to make Canva the world’s most trusted company for safe design. To safeguard our community, our T&S engineering teams build technologies to protect user safety and to prevent, detect, and mitigate abuse and fraud that could compromise the trust people have in Canva, such as unacceptable content, bots, account takeovers, and other abuse vectors. You'll be joining a fast-moving team, rapidly building and shipping safe and trustworthy machine learning-driven features to users and staff.

Responsibilities

    • Design and build safe and trustworthy machine learning systems to prevent and detect content abuse, account abuse and other forms of malicious or fraudulent behaviours.
    • Hypothesis-driven development of data and ML-driven features across Canva.
    • 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.
    • Investigating and spiking applications of data and ML across the Canva product, considering tradeoffs between different approaches and rapidly shipping.
    • Contributing to the full life cycle of ML/data models: data analysis, data preprocessing and pipeline, modelling, tuning and productization.
    • Improving the scalability, speed and performance of existing models.
    • Working alongside data specialists, software engineers and product owners to identify business and growth opportunities.
    • Designing and creating new data workflows and deploying these workflows to users. 
    • Sharing and articulating statistical analysis, modelling, experiment and results to technical and non-technical audiences.

Requirements

    • More than 5 years of industry experience in the machine learning /software engineering role with a Product/SaaS company.
    • Experience building and deploying machine learning models. 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.
    • Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
    • Strong research skills: the ability to dig through deep learning literature and translate this into products and value for users.
    • Excellent collaboration and communication skills.

It would be beneficial if you have

    • Experience with generative AI.
    • Experience in trust & safety, content moderation, fraud, or abuse.
    • Experience with generative AI and/or AI Safety & ethics.
    • Experience with designing & running experimentation.
    • SQL experience.


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 stack 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.

Please note that interviews are conducted virtually. 
Canva
Canva
Graphic Design Photo Editing Publishing Software Web Design

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