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Machine Learning Engineer (Python)

The Data Science 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.

Canva

Icons/design/feather/users

501-1,000

The Data Science 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. 
We're looking to grow the team to continue to scale the impact of machine learning and data science across Canva. You'll be joining a fast moving team, rapidly building and shipping machine learning-driven features to users and staff.

Responsibilities


  • 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 2 years of experience in the machine learning / data science role.
  • Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
  • Coding proficiency in Python, interviews will be in Python.
  • Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
  • Familiarity with big data tools: Apache Spark, Hadoop, MapReduce. 
  • SQL experience preferred.
  • Strong research skills: the ability to dig through deep learning literature and translate this into product and value for users.
  • Bachelor's degree in Computer Engineering / Science or Mathematics.
  • Excellent collaboration and communication skills.

Perks and Benefits


  • Flexible daily working hours, we value work-life balance
  • Breakfast and lunch prepared by our wonderful Vibe team
  • Onsite-Gym and Yoga Membership
  • End-of-Trip Facilities: Bicycle parking and showers
  • Generous parental (including secondary) leave policy
  • Pet-friendly offices
  • Sponsored social clubs, team events and celebrations
  • Relocation budget for interstate or overseas individuals (see below for visa information)

Want to experience Canva for yourself?


Check out what life is like at Canva on Instagram.
Check out what our users are saying about us on Twitter.
Learn how we work from Dave, our CTO
Get to know our Chef, Chris
Meet our CEO, Melanie
Finally, give Canva a go!

If you're seeking professional growth and enjoy working on large, distributed, cloud-based applications that delight our millions of individual and business users alike - then apply now to be considered for the position!

If you require visa sponsorship, you must ensure you have at least two (2) years of post-University commercial experience as a Software Engineer and meet the mandatory sponsorship requirements laid out by Department of Home Affairs.

We will not accept or review any CVs from external recruitment agencies.

Apply now

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About Canva

Learn about Canva and their company culture.

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Before Canva, creating a professional looking design was a complex process - you had to purchase expensive software; learn how to use it; purchase stock photography and fonts for the software; decide on a layout; slice images; receive photos and content via email; design something; upload and email the pdf only to find revisions needed to be made … and then finally be able to prepare your design for web or print. 

Since launching in August 2013, Canva has been changing the way in which we communicate. Today our design tool has attracted over 15 million happy users across 190 countries, who have collectively created more than 1 billion designs. 

With an integrated marketplace that has both free and paid stock photography, fonts, illustrations, and thousands of templates; a paid subscription that offers the ability to set up a brand kit so users can save their brand colours, fonts and assets, and ensure consistency across their designs; and a print service that gives our users the ability to produce professional prints in a variety of formats and sizes, delivered straight to their doorstep - Canva is disrupting the way we design.

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Tech stack

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