Dein persönlicher KI-Karriere-Agent
Machine Learning Engineering Manager - Evaluations(m/w/x)
Building AI-powered design tools for visual models. Expert knowledge deploying and scaling generative models required. Equity packages, flexible leave options.
Anforderungen
- Leadership of machine learning engineering teams
- Coaching and delivering production systems
- Expert knowledge deploying generative models
- Scaling generative models in production
- Focus on visual models (image, video, design)
- Hands-on ML infrastructure building
- Building ML evaluation pipelines
- Building ML monitoring systems at scale
- Creating data-driven evaluation methodologies
- Turning analytics into actionable insights
- Strong systems design skills
- Experience with MLOps
- Experience with model serving
- Experience with production reliability
- Experience with visual quality assessment
- Experience with aesthetic modelling
- Experience with human preference learning
- Tackling automated metrics vs human raters gap
- Understanding of design principles
- Operationalising design principles as signals
- Thriving in collaborative environments
- Clear communication with technical audiences
- Clear communication with non-technical audiences
- Staying current with SOTA research trends
- Staying current with engineering best practices
- Energised by continuous learning
- Provide pronouns when applying
- Disclose reasonable adjustments for interview
Aufgaben
- Lead and grow a high-performing team of Machine Learning Engineers and Research Scientists
- Set strategic technical direction for the team
- Coach and mentor team members to deliver impactful engineering solutions
- Design, build, and maintain robust evaluation systems
- Develop quality metrics and safety monitoring processes
- Conduct red-teaming and competitive benchmarking
- Create automated metrics for human aesthetic judgment
- Advise on human evaluation pipelines
- Close the loop between user signals and model improvements
- Align technical strategy with Canva's AI and product goals
- Guide engineering direction for model deployment and production systems
- Partner cross-functionally to ensure reliable product impact
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Diffusion models
- GANs
- VAEs
- LLMs
- ML infrastructure
- MLOps
Benefits
Attraktive Vergütung
- Equity packages
Großzügige Elternzeit
- Inclusive parental leave
Sonstige Zulagen
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
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Machine Learning Engineering Manager - Evaluations(m/w/x)
Building AI-powered design tools for visual models. Expert knowledge deploying and scaling generative models required. Equity packages, flexible leave options.
Anforderungen
- Leadership of machine learning engineering teams
- Coaching and delivering production systems
- Expert knowledge deploying generative models
- Scaling generative models in production
- Focus on visual models (image, video, design)
- Hands-on ML infrastructure building
- Building ML evaluation pipelines
- Building ML monitoring systems at scale
- Creating data-driven evaluation methodologies
- Turning analytics into actionable insights
- Strong systems design skills
- Experience with MLOps
- Experience with model serving
- Experience with production reliability
- Experience with visual quality assessment
- Experience with aesthetic modelling
- Experience with human preference learning
- Tackling automated metrics vs human raters gap
- Understanding of design principles
- Operationalising design principles as signals
- Thriving in collaborative environments
- Clear communication with technical audiences
- Clear communication with non-technical audiences
- Staying current with SOTA research trends
- Staying current with engineering best practices
- Energised by continuous learning
- Provide pronouns when applying
- Disclose reasonable adjustments for interview
Aufgaben
- Lead and grow a high-performing team of Machine Learning Engineers and Research Scientists
- Set strategic technical direction for the team
- Coach and mentor team members to deliver impactful engineering solutions
- Design, build, and maintain robust evaluation systems
- Develop quality metrics and safety monitoring processes
- Conduct red-teaming and competitive benchmarking
- Create automated metrics for human aesthetic judgment
- Advise on human evaluation pipelines
- Close the loop between user signals and model improvements
- Align technical strategy with Canva's AI and product goals
- Guide engineering direction for model deployment and production systems
- Partner cross-functionally to ensure reliable product impact
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Diffusion models
- GANs
- VAEs
- LLMs
- ML infrastructure
- MLOps
Benefits
Attraktive Vergütung
- Equity packages
Großzügige Elternzeit
- Inclusive parental leave
Sonstige Zulagen
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Canva
Branche
IT
Beschreibung
The company is a fast-growing platform that redefines how the world experiences design.
Noch nicht perfekt?
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