Technical Lead AI / Machine Learning Engineer - User Voice - Open to remote across ANZ

Key Skills

AI technology, Apache Solr, Deep Learning, Docker, Effective communication skills, Elasticsearch, Kubernetes-K8s, Natural Language Processing (NLP), Python Programming, PyTorch, SaaS, Scikit-learn, SQL, TensorFlow

Job Description

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

Our Vision is “Every user empowered, every voice heard”. User Voice is our critical interface to our most valuable partners, our users. We want to ensure that they have a flawless experience while using Canva products as we scale our way to support 1 billion users. User Voice is responsible for customer happiness and their ability to get help, as well as providing clear insights to improve user experiences.

About the job:

Our conversational understanding team seeks a tech lead AI engineer to build and evolve our intent recognition module.We ’re working on a chatbot platform to unify multiple tools and make the user journey truly magical when using Canva products. The platform is integrated in the editor and would be used by more than 100M users monthly. It currently offers:Timely and accurate in-app help and tipsClarify the tasks at hand and modify the design using text and/or voice based instructions that are natural to the usersShort-cuts to popular actionsThe project has a high visibility internally.

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.
• Background in either Natural Language Processing (NLP), Large language models (LLM)
• Chatbot Development GPT-3 interest is a plus
• 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.
• 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)

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.