Senior Machine Learning Engineer - Editing AI (Open to remote across ANZ)
Sydney, New South Wales, Australia
What you will do
- Design, develop and deploy solutions to challenging Design AI problems – working closely with other MLE's, backend engineers, frontend engineers, designers, and product managers to deliver features and experiments to our users
- 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.
What you bring
- Experience or strong interest in design. This team works at the intersection of engineering and design so a genuine desire or proven experience in this space is essential
- Strong Coding proficiency in Python, interviews will be in Python.
- Familiarity with several of the following: TensorFlow, PyTorch, scikit-learn, Kubernetes, Solr/ElasticSearch, dataset creation
- Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
- SQL experience preferred.
- Strong research skills: the ability to dig through machine learning literature and translate this into product and value for users.
- 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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Computer Science Data analysis Elasticsearch Engineering Kubernetes Machine Learning ML models Python PyTorch Research Scikit-learn SQL Statistics TensorFlow
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Home office stipend Parental leave Pet friendly Relocation support Team events Yoga
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