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

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 experience in 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.
• 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)

Job Rewards and Benefits