Machine Learning Engineer Lead

Summary

Join Canva, a company redefining design experiences, and contribute to their User Voice supergroup by leading the ML roadmap. This role involves building production-ready NLP models, developing ML pipelines, collaborating with various teams, and mentoring other engineers. You will be responsible for shaping how AI transforms user engagement with support systems at scale.

Requirements

• You have 5+ years of ML or software engineering experience, ideally in SaaS or product environments
• You’ve shipped large-scale NLP systems into production environments
• You’re fluent in Python and familiar with tools like TensorFlow, PyTorch, scikit-learn, Huggingface, Langchain
• You understand RAG architectures and how to apply them
• You have a strong grasp of core CS fundamentals, from system design to architecture
• You bring deep collaboration and mentoring energy — you love solving complex problems with others
• You’ve set strategic AI direction before and turned it into meaningful delivery

Responsibilities

• Defining and leading the ML roadmap for Canva’s User Voice supergroup
• Building production-ready NLP models, with a focus on Agentic AI and LLMs, to power user-facing support tools
• Building end-to-end ML pipelines for large-scale model training, evaluation, and deployment
• Partnering across User Voice, Product, and Engineering to align on strategic goals
• Collaborating across Canva’s ML Engineering community to solve common infrastructure and model challenges
• Mentoring other engineers and uplifting Canva’s collective AI capability

Preferred Qualifications

Experience in customer support or business process automation is a strong plus

Benefits

• Equity packages — we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally