Staff Machine Learning Engineer - User Voice

November 22

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Logo of Canva

Canva

Design • Graphic Design • Web app • Software engineering • Startup

1001 - 5000 employees

Founded 2013

☁️ SaaS

📱 Media

📚 Education

Description

• Join the team redefining how the world experiences design. • Partner with leadership on developing an AI/ML strategy. • Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product. • Collaborate with MLEs to tap into existing ML capabilities.

Requirements

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

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 support you personally

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