Senior Machine Learning Engineer - User Voice

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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. You 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.