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Machine Learning Engineering Manager - Evaluations(m/w/x)
Designing robust evaluation systems for generative models on a fast-growing design platform. Leadership of ML engineering teams and expert generative model knowledge required. Equity packages, inclusive parental leave, annual Vibe & Thrive allowance.
Requirements
- Leadership of machine learning engineering teams
- Coaching and delivering production systems
- Expert knowledge in generative models
- Experience building ML infrastructure
- Creation of data-driven evaluation methodologies
- Strong systems design and MLOps skills
- Experience with visual quality assessment
- Understanding of design principles
- Collaboration and clear communication skills
- Continuous learning of research trends
Tasks
- Coach and mentor Machine Learning Engineers and Research Scientists
- Lead and grow a high-performing EU-based technical team
- Design and maintain robust evaluation systems and quality metrics
- Implement safety monitoring and red-teaming protocols
- Execute competitive benchmarking to ensure enterprise readiness
- Build automated metrics predicting human aesthetic judgment
- Advise on human evaluation pipelines and user signal loops
- Set technical strategy aligned with AI and product goals
- Guide engineering direction for model deployment and infrastructure
- Partner cross-functionally to ensure reliable product impact
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Diffusion
- GANs
- VAEs
- LLMs
- MLOps
- Model serving
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Not a perfect match?
- CanvaFull-timeRemoteSeniorWien
- Canva
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Machine Learning Engineering Manager - Evaluations(m/w/x)
Designing robust evaluation systems for generative models on a fast-growing design platform. Leadership of ML engineering teams and expert generative model knowledge required. Equity packages, inclusive parental leave, annual Vibe & Thrive allowance.
Requirements
- Leadership of machine learning engineering teams
- Coaching and delivering production systems
- Expert knowledge in generative models
- Experience building ML infrastructure
- Creation of data-driven evaluation methodologies
- Strong systems design and MLOps skills
- Experience with visual quality assessment
- Understanding of design principles
- Collaboration and clear communication skills
- Continuous learning of research trends
Tasks
- Coach and mentor Machine Learning Engineers and Research Scientists
- Lead and grow a high-performing EU-based technical team
- Design and maintain robust evaluation systems and quality metrics
- Implement safety monitoring and red-teaming protocols
- Execute competitive benchmarking to ensure enterprise readiness
- Build automated metrics predicting human aesthetic judgment
- Advise on human evaluation pipelines and user signal loops
- Set technical strategy aligned with AI and product goals
- Guide engineering direction for model deployment and infrastructure
- Partner cross-functionally to ensure reliable product impact
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Diffusion
- GANs
- VAEs
- LLMs
- MLOps
- Model serving
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
About the Company
Canva
Industry
Design
Description
The company is a fast-growing platform that redefines how the world experiences design.
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