Canva
Senior Machine Learning Engineer - Multimodal Data(m/w/x)
Full-timeWith HomeofficeSenior
Wien
New Job?Nejo!
Your personal AI career agent
CACanva
Machine Learning Engineering Manager - Evaluations(m/w/x)
Wien
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Building AI-powered design tools for visual models. Expert knowledge deploying and scaling generative models required. Equity packages, flexible leave options.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Diffusion models
- GANs
- VAEs
- LLMs
- ML infrastructure
- MLOps
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Canva and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorWienfrom 52,136 / year - JobCloud AG
Senior Engineering Manager(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 75,000 - 90,000 / year - TÜV AUSTRIA Holding AG
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - Avomind
Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Full-timeWith HomeofficeSeniorWien
CACanva
Machine Learning Engineering Manager - Evaluations(m/w/x)
Wien
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Building AI-powered design tools for visual models. Expert knowledge deploying and scaling generative models required. Equity packages, flexible leave options.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Diffusion models
- GANs
- VAEs
- LLMs
- ML infrastructure
- MLOps
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Canva and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Canva
Industry
IT
Description
The company is a fast-growing platform that redefines how the world experiences design.
Not a perfect match?
- Canva
Senior Machine Learning Engineer - Multimodal Data(m/w/x)
Full-timeWith HomeofficeSeniorWien - Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorWienfrom 52,136 / year - JobCloud AG
Senior Engineering Manager(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 75,000 - 90,000 / year - TÜV AUSTRIA Holding AG
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - Avomind
Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Full-timeWith HomeofficeSeniorWien