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Machine Learning Engineering Manager - AI Platform - Remote

Posted Yesterday
Software Development
Full Time
Austria
85,000 EUR/year

Overview

Join the team redefining how the world experiences design at Canva, focusing on AI product development and platform engineering.

In Short

  • Lead a team of engineers in the AI Platform Group.
  • Collaborate with AI research leadership on platform capabilities.
  • Drive cross-team initiatives from ideation to completion.
  • Coach and mentor engineers to help them achieve growth goals.
  • Manage the team’s development methodology and rituals.
  • Work closely with Product Managers to align on roadmaps.
  • Define success metrics and goals for the team.
  • Advocate for ML engineering needs within the organization.
  • Handle hiring and resourcing for the team.

Requirements

  • Proven experience in technical leadership and mentorship.
  • Ability to work across timezones with excellent communication skills.
  • Experience in platform engineering and building distributed systems.
  • Strong problem-solving abilities and first principles thinking.
  • Passion for platform engineering and empowering teams.
  • Proven expertise in inspiring and enabling engineers.
  • Continuous learner who embraces global-scale challenges.

Benefits

  • Equity packages for shared success.
  • Inclusive parental leave policy.
  • Annual Vibe & Thrive allowance for wellbeing and social connection.
  • Flexible leave options for personal recharge.
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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