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Senior Research Engineer - Design Generation(m/w/x)
Building production-ready multimodal generative AI pipelines for a design platform. Experience with RGBA and layered images required. Equity packages, annual Vibe & Thrive allowance.
Requirements
- Strong software engineering skills in Python
- Experience building production-grade ML systems
- Experience owning ML model pipelines
- Experience with RGBA and layered images
- Experience with large-scale ML workflows
- Solid understanding of ML training requirements
- Experience with AWS and distributed storage
- Ability to operate in ambiguous spaces
- Strong communication and collaborative mindset
- Ownership and quick iteration skills
- Experience with multimodal data (desirable)
- Experience building synthetic data pipelines (desirable)
- Experience building research impact demos (desirable)
- Familiarity with evaluation and monitoring (desirable)
- Prior research or open-source experience (desirable)
Tasks
- Partner with Research Scientists on multimodal generative AI
- Translate research hypotheses into practical systems
- Evolve reusable training, inference, and evaluation pipelines
- Standardize pipelines across different teams
- Convert experimental Python code into production-ready code
- Build large-scale data and evaluation pipelines
- Enable lightweight experiments for fast hypothesis testing
- Optimize models for performance, latency, and cost
- Collaborate with stakeholders to align shared approaches
- Translate cutting-edge research into actionable product features
- Identify and resolve infrastructure and data bottlenecks
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Ray
- AWS
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
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Senior Research Engineer - Design Generation(m/w/x)
Building production-ready multimodal generative AI pipelines for a design platform. Experience with RGBA and layered images required. Equity packages, annual Vibe & Thrive allowance.
Requirements
- Strong software engineering skills in Python
- Experience building production-grade ML systems
- Experience owning ML model pipelines
- Experience with RGBA and layered images
- Experience with large-scale ML workflows
- Solid understanding of ML training requirements
- Experience with AWS and distributed storage
- Ability to operate in ambiguous spaces
- Strong communication and collaborative mindset
- Ownership and quick iteration skills
- Experience with multimodal data (desirable)
- Experience building synthetic data pipelines (desirable)
- Experience building research impact demos (desirable)
- Familiarity with evaluation and monitoring (desirable)
- Prior research or open-source experience (desirable)
Tasks
- Partner with Research Scientists on multimodal generative AI
- Translate research hypotheses into practical systems
- Evolve reusable training, inference, and evaluation pipelines
- Standardize pipelines across different teams
- Convert experimental Python code into production-ready code
- Build large-scale data and evaluation pipelines
- Enable lightweight experiments for fast hypothesis testing
- Optimize models for performance, latency, and cost
- Collaborate with stakeholders to align shared approaches
- Translate cutting-edge research into actionable product features
- Identify and resolve infrastructure and data bottlenecks
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Ray
- AWS
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
IT
Description
The company is a fast-growing platform that redefines how the world experiences design.
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