Senior Machine Learning Engineer (Python)- Open to remote across ANZ

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We’re driven by our values, with our ‘Be a Force for Good’ value supporting everything that we do. Through your work on our product or team, and our community initiatives and sustainability programs, you’re given the opportunity to come to Canva and make a tangible difference to the lives of others in your day-to-day life. In addition to our Founder’s 30% Pledge, Canva is committed to Pledge 1% and actively encourage our team to participate in many ways, including taking paid volunteer leave.

Your journey with Canva could take you to places that you might not even imagined yet. There’s opportunity around every corner and the support to help you achieve your goals.Join us and design your future.

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 5 years of Industry experiencein the machine learning /software engineering role with a Product/SaaS company.
• Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
• Strong Coding proficiency in Python, interviews will be in Python.
• Familiarity with several of the following: TensorFlow, PyTorch, scikit-learn, Kubernetes, Docker, Solr/ElasticSearch
• 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 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)