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Senior Backend Engineer - Research Enablement(m/w/x)
Bridging research and production for AI design tools, shortening the loop and ensuring reliable ML features. Strong computer science fundamentals and large-scale Java/Python backend experience required. Equity packages and inclusive parental leave.
Requirements
- Computer science and engineering fundamentals (concurrency, multithreading, data structures, solution design, architecture, design patterns)
- Designing, building, and running large scale Java or Python backend systems
- Problem-solving and analytical skills
- Communication and interpersonal skills
- Collaborative teamwork, project ownership
- Big-picture thinking and attention to detail
- Ability to work in fast-paced, dynamic environment
- Machine Learning experience (plus)
- SQL experience
- DynamoDB experience (plus)
Tasks
- Bridge the gap between research and production
- Shorten the research-to-user loop
- Reduce duplication of efforts
- Ensure ML features are reliable and observable
- Make ML features easy for other teams to adopt
- Own model deployment and rollout pipelines
- Build and maintain infrastructure and tooling
- Run data collection systems for ML training
- Work closely with AI Platform and research leads
- Ensure experimental code is production-ready
- Build internal apps and services
- Create tooling and processes for safe and quick model deployment
- Collaborate with stakeholders across the Gen AI group
- Work on cutting-edge AI features
- Support data scientists, MLEs, PMs, and designers
- Participate in planning and development of building blocks
- Develop training data pipelines
- Create data visualizers and aggregators
- Collaborate with cross-functional teams
- Design high-performance, scalable backend components
- Maintain reusable backend components
- Implement best practices for backend engineering
- Foster a culture of continuous learning
- Participate in code reviews
- Ensure adherence to coding standards
- Contribute to backend architecture and design
- Ensure maintainability and extensibility of systems
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Java
- Python
- SQL
- DynamoDB
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 Backend Engineer - Research Enablement(m/w/x)
Bridging research and production for AI design tools, shortening the loop and ensuring reliable ML features. Strong computer science fundamentals and large-scale Java/Python backend experience required. Equity packages and inclusive parental leave.
Requirements
- Computer science and engineering fundamentals (concurrency, multithreading, data structures, solution design, architecture, design patterns)
- Designing, building, and running large scale Java or Python backend systems
- Problem-solving and analytical skills
- Communication and interpersonal skills
- Collaborative teamwork, project ownership
- Big-picture thinking and attention to detail
- Ability to work in fast-paced, dynamic environment
- Machine Learning experience (plus)
- SQL experience
- DynamoDB experience (plus)
Tasks
- Bridge the gap between research and production
- Shorten the research-to-user loop
- Reduce duplication of efforts
- Ensure ML features are reliable and observable
- Make ML features easy for other teams to adopt
- Own model deployment and rollout pipelines
- Build and maintain infrastructure and tooling
- Run data collection systems for ML training
- Work closely with AI Platform and research leads
- Ensure experimental code is production-ready
- Build internal apps and services
- Create tooling and processes for safe and quick model deployment
- Collaborate with stakeholders across the Gen AI group
- Work on cutting-edge AI features
- Support data scientists, MLEs, PMs, and designers
- Participate in planning and development of building blocks
- Develop training data pipelines
- Create data visualizers and aggregators
- Collaborate with cross-functional teams
- Design high-performance, scalable backend components
- Maintain reusable backend components
- Implement best practices for backend engineering
- Foster a culture of continuous learning
- Participate in code reviews
- Ensure adherence to coding standards
- Contribute to backend architecture and design
- Ensure maintainability and extensibility of systems
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Java
- Python
- SQL
- DynamoDB
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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