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Staff Machine Learning Engineer - User Voice - Remote

Posted 31 weeks ago
Software Development
Full Time
Australia, New Zealand

Overview

Join the team redefining how the world experiences design as a Staff Machine Learning Engineer focusing on User Voice, where you will develop AI/ML strategies to enhance customer support experiences.

In Short

  • Partner with leadership to develop AI/ML strategy.
  • Accountable for delivery of identified opportunities in User Voice.
  • Lead ML development of natural language understanding systems.
  • Collaborate with MLEs on cross-organization problems.
  • 5+ years of experience in machine learning/software engineering.
  • Experience with high scale Natural Language Systems.
  • Strong coding proficiency in Python.
  • Familiarity with TensorFlow, PyTorch, and other ML tools.
  • Understanding of Computer Science fundamentals.
  • Excellent collaboration and communication skills.

Requirements

  • 5+ years in machine learning/software engineering.
  • Experience with natural language systems.
  • Proficiency in Python.
  • Familiarity with ML frameworks like TensorFlow and PyTorch.
  • Understanding of RAG architectures.
  • Strong computer science fundamentals.
  • Experience in customer support or business process automation.
  • Collaboration and mentoring skills.
  • Ability to set vision in AI space.

Benefits

  • Equity packages.
  • Inclusive parental leave policy.
  • Annual Vibe & Thrive allowance.
  • Flexible leave options.
Canva logo

Canva

Canva is a dynamic design platform that is revolutionizing the way individuals and businesses create visual content. With its flagship campus in Sydney, Australia, and operations in Austria focused on AI product development, Canva empowers its employees, known as Canvanauts, to choose their work environment and balance. The company is committed to innovation, particularly in the realm of artificial intelligence, as seen in its successful product remove.bg, which offers automated background removal services. Canva fosters a culture of collaboration, data-driven decision-making, and inclusivity, providing a range of benefits to support the well-being and success of its team members.

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