Senior Machine Learning Engineer - Content Enrichment
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, Adelaide and Auckland. 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. This will give you a flavour of the types of things you'll be working on when you start, but these will likely evolve.
We are seeking an experienced Machine Learning Engineer based in ANZ.
At the moment, this role is focused on:
Building enrichment solutions to tag and classify a variety of content types in Canva's library.
Designing data pipelines to automate metadata backfills for the existing content library.
Wrangling datasets to train and evaluate ML models.
Troubleshooting and resolving technical issues within the team’s domain.
Designing and building bespoke ML solutions for novel problems such as style transfer and agentic design generation.
Proposing methods to decrease the cost of inference in our enrichment pipeline.
Managing stakeholders and identifying cross-team collaboration opportunities to drive new ideas and improvements that align with our goals.
Investigating and providing guidance on interacting with our service and codebase in response to stakeholder requests.
About the team
Our team is responsible for two critical services within Canva, Content Understanding Service and Concept Service. We are a close-knit team of experienced engineers, including three senior machine learning engineers (including yourself), three senior backend engineers, a senior backend architect, a product manager, and an engineering manager. We take a proactive approach to problem-solving, value knowledge sharing, and encourage open collaboration and idea exchange.
You're probably a match if
You have more than 5 years of hands-on experience in designing and developing complex ML models, especially in computer vision.
You are experienced in R&D and conducting literature reviews on the latest ML techniques.
You are proficient in PyTorch and setting up cloud ML infrastructure, with familiarity in LLMs and prompt engineering as a must.
You are familiar with embeddings and vector databases.
You have experience working with microservices and large monorepos.
You follow disciplined coding practices, actively participate in code reviews, and set best-practice standards for your peers.
You possess strong written and verbal communication skills and excel in team collaboration. As a Canva engineer, you take the time to fully understand the problem before diving into code.
Preferred
You hold a Master’s or PhD degree in a machine learning discipline.
You have experience with Ray, Weights & Biases, Kubernetes, and Java.
You have experience hosting LLM architectures and fine-tuning them through reinforcement learning.
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! We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience - you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side. Your recruitment partner will walk you through what to expect.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.
About the job
Apply for this position
Senior Machine Learning Engineer - Content Enrichment
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, Adelaide and Auckland. 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. This will give you a flavour of the types of things you'll be working on when you start, but these will likely evolve.
We are seeking an experienced Machine Learning Engineer based in ANZ.
At the moment, this role is focused on:
Building enrichment solutions to tag and classify a variety of content types in Canva's library.
Designing data pipelines to automate metadata backfills for the existing content library.
Wrangling datasets to train and evaluate ML models.
Troubleshooting and resolving technical issues within the team’s domain.
Designing and building bespoke ML solutions for novel problems such as style transfer and agentic design generation.
Proposing methods to decrease the cost of inference in our enrichment pipeline.
Managing stakeholders and identifying cross-team collaboration opportunities to drive new ideas and improvements that align with our goals.
Investigating and providing guidance on interacting with our service and codebase in response to stakeholder requests.
About the team
Our team is responsible for two critical services within Canva, Content Understanding Service and Concept Service. We are a close-knit team of experienced engineers, including three senior machine learning engineers (including yourself), three senior backend engineers, a senior backend architect, a product manager, and an engineering manager. We take a proactive approach to problem-solving, value knowledge sharing, and encourage open collaboration and idea exchange.
You're probably a match if
You have more than 5 years of hands-on experience in designing and developing complex ML models, especially in computer vision.
You are experienced in R&D and conducting literature reviews on the latest ML techniques.
You are proficient in PyTorch and setting up cloud ML infrastructure, with familiarity in LLMs and prompt engineering as a must.
You are familiar with embeddings and vector databases.
You have experience working with microservices and large monorepos.
You follow disciplined coding practices, actively participate in code reviews, and set best-practice standards for your peers.
You possess strong written and verbal communication skills and excel in team collaboration. As a Canva engineer, you take the time to fully understand the problem before diving into code.
Preferred
You hold a Master’s or PhD degree in a machine learning discipline.
You have experience with Ray, Weights & Biases, Kubernetes, and Java.
You have experience hosting LLM architectures and fine-tuning them through reinforcement learning.
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! We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience - you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side. Your recruitment partner will walk you through what to expect.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.