Staff Machine Learning Engineer

Summary

Join the team redefining how the world experiences design as a Machine Learning Engineer in User Voice, working on cutting-edge natural language understanding systems and collaborating with cross-functional teams to deliver an outstanding customer experience.

Requirements

• More than 5 years of Industry experience in the machine learning/software engineering role with a Product/SaaS company
• Experience with industry-level high scale Natural Language Systems
• Experience building and deploying machine learning models, including a strong understanding of end-to-end machine learning pipelines and components
• Strong coding proficiency in Python (note that interviews will be in Python)
• Familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Langchain and Huggingface
• Worked with RAG architectures and/or have a good understanding of its application
• Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns
• Ideally previously worked in Customer Support and/or Business Process automation role
• Excellent collaboration and communication skills. Enjoy pairing with and mentoring other engineers
• Proven ability to set medium to long-term vision for the team in the AI space

Responsibilities

• Partner with our leadership on developing an AI/ML strategy and roadmap to improve the customer support experience
• Be accountable for the delivery of the primary identified opportunities in UV, partnering with product and engineering teams
• Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product
• Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on cross-organisation problems and solutions

Benefits

• Equity packages - we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• 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 support you personally