Prior Listings
Machine Learning Engineer (Python)- Remote across ANZ
Machine Learning Engineer (Python)- Remote across ANZ
This job is no longer open
Designing with Canva involves making many choices, out of our incredibly large content pool of over 75M+ templates, photos, videos and elements. The Content Recommendations team is building machine learning-drive recommendations and a personalised content experience, helping to narrow down these choices, and make design easier, smarter, and more magical.
We're looking to grow the team to continue to scale the impact of recommendations across Canva. You'll be joining a fast moving team, rapidly building and shipping machine learning learning-driven recommendations to users, and making it effortless for users to discover the most relevant content for them.
Responsibilities
- Hypothesis-driven development of recommendation 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 recommendations experiments.
- Investigating and spiking applications of recommendations 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
- Previous experience in the machine learning / data science domain.
- Experience building and deploying machine learning models, ideally recommendations models.
- Strong understanding of end-to-end machine learning pipelines and components.
- Coding proficiency in Python, interviews will be in Python. Experience in Scala is preferred.
- 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.
This job is no longer open