Senior Machine Learning Engineer
vor 2 Monaten
Job Description 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 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.
This role is focused on:
Designing, implementing, and refining machine learning models to deliver personalized recommendations. Optimizing the existing code structure and enhancing the performance of our machine learning systems. Investigating research papers and state-of-the-art machine learning models and applying them at Canva. Conducting online and offline experiments to validate model performance and optimize outcomes. Ensuring seamless integration and performance across our technology stack - machine learning models with our backend code. Collaborating closely with product and engineering teams to integrate and deploy new recommendation features and enhancements. Documenting work and communicating findings to both technical and non-technical stakeholders to support strategic decision-making. You're probably a match if You are an experienced Machine Learning Engineer who excels at applying machine learning techniques to solve real-world problems. You have proven experience in developing and optimizing machine learning models, especially in the context of recommendation systems. You have proficiency in programming languages such as Python, and experience with data analysis and machine learning libraries such as PyTorch, pandas, scikit-learn, numpy. You have strong analytical skills, with experience in evaluating model performance and making data-driven improvements. You have excellent communication skills, with the ability to explain complex technical concepts to a diverse audience. You have a collaborative mindset and a passion for working with cross-functional teams to achieve shared goals. About the team Canva is full of AI-powered magic, but our ML-powered Recommendations may very well be the most-used machine-learning system at Canva.
Serving over one hundred million users every month, our recommendations help Canva users find exactly what they're looking for.
We are always working with cutting-edge technology and running experiments to improve our recommender systems.
The Recommendations team is a great fit for someone looking to make a huge impact on Canva Users by employing the latest in Machine Learning Research.
Recommending Canva templates to users to get them started with their design. "Magic Recommendations" for images, graphics, video and audio. Design-aware recommendations for images, graphics inside the Canva Editor. Recommendations for Canva Creators you might like to follow. Recommendations for Fonts you might like to use. What's in it for you? Achieving our crazy big goals motivates us to work hard, 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 success.
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. Check out lifeatcanva.com for more info.
Other stuff to know We make hiring decisions based on your experience, skills and passion.
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.
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