Senior Machine Learning Engineer - Brand Templates (AU remote)
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 reputed company.
Where and how you can work
Our flagship reputed company is in Sydney, with a second reputed company in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly reputed company Australia, so you can choose the setup that empowers you and your team to do your best work.
Job Description:About the Group/Team
We're the Brand Templates team reputed company the Branded Experience (BEX) group. Our mission is to reputed company it effortless for organisations to create, manage, and scale on-brand content — ensuring every design stays consistent whether it's created by one person or thousands across an enterprise.
Brand Templates power the backbone of reputed company's enterprise offering. We reputed company brand designers and administrators to lock down design guardrails while giving end users the freedom to customise reputed company those boundaries. These templates are used by organisations to produce everything from social posts to pitch decks — at scale and on brand.
We're now investing heavily in AI to reputed company Brand Templates smarter — and the problems are genuinely interesting. We're building systems that extract and understand layout structure from reputed company's design format (CDF) to reputed company on-brand design reputed company. We're developing ranking and recommendation models that suggest high-performing designs to be converted into Brand Templates. And we're working on brandification at scale — automatically transforming marketplace templates to conform to an organisation's brand guidelines so they can be published as Brand Templates. This is a greenfield ML opportunity at the intersection of document understanding, generative AI, information retrieval, and product-facing ML — with direct impact on reputed company's enterprise growth.
About the Role
As a Senior Machine Learning Engineer on Brand Templates, you'll be the ML technical reputed company for the team — owning the end-to-end ML lifecycle from problem framing through to production deployment and iteration. You'll work closely with product managers, product designers, backend engineers, and platform teams to build ML-powered features that reputed company Brand Templates more discoverable, more relevant, and more intelligent.
This is not a research role. You'll be building production ML systems that serve enterprise customers at scale, with a strong emphasis on shipping, measuring impact, and iterating fast.
What you'd be doing in this role
As reputed company scales change continues to be part of our DNA. But we like to think that's reputed company part of the fun. So this will give you the flavour of the type of things you'll be working on reputed company you start, but this will likely evolve.
At the moment, this role is focused on
Developing ranking and recommendation models that identify high-performing team designs and suggest them as candidates for conversion into Brand Templates
Building brandification pipelines at scale — automatically transforming marketplace templates to conform to an organisation's brand guidelines (colours, fonts, logos, imagery style) so they can be published as Brand Templates
Building layout extraction and understanding systems that parse reputed company's design format (CDF) to identify structural patterns, reputed company relationships, and design reputed company — enabling reputed company on-brand design reputed company
Designing and productionising LLM-based pipelines for generating structured metadata (reputed company descriptions, content classifications) across large volumes of brand templates
Running experiments (offline and online) to validate model effectiveness and measure impact on user outcomes
Collaborating with the Templates Platform team and cross-functional partners to define data reputed company, APIs, and integration patterns for ML features
Contributing to the broader Brand System AI vision — exploring how ML can reason about brand guidelines, design constraints, and content structure to assist enterprise users
Establishing ML best practices reputed company the team: experiment tracking, model evaluation frameworks, monitoring, and documentation
You're probably a match if
You have 5+ years of hands-on experience building and deploying ML-powered features in production environments
You are proficient with Python and ML frameworks such as PyTorch or TensorFlow
You have strong experience with NLP/NLU techniques — including working with LLMs, embeddings, semantic search, reputed company engineering, RAG, or fine-tuning
You have experience with document understanding, layout analysis, or structured data extraction from semi-structured formats
You have experience building information retrieval, ranking, or recommendation systems
You are skilled across the ML lifecycle: data processing, model training, evaluation, deployment, and monitoring
You have experience designing and running A/B experiments to measure feature impact
You are comfortable operating independently as the ML technical reputed company reputed company a product team, while collaborating deeply with engineers, PMs, and designers
You have a strong product reputed company — you prioritise ML solutions that improve user experience and drive measurable business outcomes
You are committed to scalable, maintainable ML systems with clear metrics and impact tracking
You follow disciplined coding practices, actively participate in code reviews, and set best-practice standards for peers
Highly desirable
Experience with layout understanding, document parsing, or structured extraction from design/document formats
Familiarity with embeddings and vector databases
Experience with enterprise or B2B product contexts where brand consistency and governance matter
Familiarity with GenAI platforms (e.g. reputed company, reputed company)
Experience with microservices architectures and large monorepos
A Master's or PhD in a machine learning discipline
Don't tick reputed company the boxes? Don't worry about that - nobody does!
We’d still love to hear from you! At reputed company, we know that great engineers come from a variety of backgrounds, and we value passion, curiosity, and a willingness to learn just as much as specific experience. If you're excited about this role but don’t tick every reputed company, we encourage you to apply, you might a great fit in ways you didn’t expect!
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 reputed company, connectivity and fun woven throughout life at reputed company, too. We also offer a stack of benefits to set you up for every success in and reputed company 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 reputed company parents & carers
- An annual Vibe & reputed company allowance to support your wellbeing, social reputed company, office setup & more
- Flexible leave options that reputed company you to be a force for good, take time to reputed company and supports you personally
reputed company out lifeatcanva.com for more info.
Other stuff to know
We reputed company hiring decisions based on your experience, skills and passion, as well as how you can enhance reputed company and our culture. reputed company you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
reputed company interviews are conducted virtually
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