Canva
Python Backend Engineer - AI Platform Enablement(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Wien
ab 70.000 / Jahr
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
CACanva
Senior Machine Learning Engineer - Multimodal Data(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building multimodal AI data pipelines for agent training at a design platform. Production-grade data pipeline and ML DevOps experience required. Equity packages, flexible leave options.
Anforderungen
- Strong software engineering skills in Python
- Experience building production-grade data pipelines
- ML DevOps experience
- Practical prompt engineering experience
- Designing, testing, refining prompts for LLM/VLM outputs
- Experience with ML data workflows
- Large-scale data processing and loading
- Data versioning experience
- Format considerations for training (tokenization, batching, sharding)
- Hands-on experience with data pipelines for large-scale distributed ML training
- Familiarity with annotation tooling
- Familiarity with human-in-the-loop data collection
- Understanding of ML training requirements
- Knowledge of "good data" for LLM/VLM fine-tuning
- Anticipation of downstream issues
- Experience loading/writing large datasets to/from cloud infrastructure (AWS)
- Experience loading/writing large datasets to/from distributed storage systems
- Strong communication skills
- Ability to work with researchers to scope ambiguous problems
- Ability to translate needs into actionable plans
- Collaborative approach
- Comfortable taking ownership
- Comfortable iterating quickly
- Experience with preference data collection for RLHF
- Experience with reward modelling
- Familiarity with multimodal data (image-text pairs, video, design assets)
- Experience building synthetic data generation pipelines using LLMs
- Background in data quality metrics
- Background in monitoring systems
- Contributions to dataset releases or benchmarks in ML community
Aufgaben
- Design and build data pipelines for agent training
- Collect, filter, deduplicate, format, and version data
- Build and maintain infrastructure for efficient data loading, storage, and retrieval
- Collaborate with research scientists to translate requirements into data specifications
- Create evaluation datasets and benchmarks with researchers
- Curate task distributions to identify real failure modes
- Develop tooling for dataset construction
- Implement human annotation workflows
- Generate synthetic data
- Collect preference data for RLHF/DPO-style training
- Ensure data quality through validation frameworks
- Monitor for data drift and contamination
- Establish standards for trustworthy and reproducible datasets
- Document datasets thoroughly
- Record provenance, known limitations, intended use cases, and versioning history
- Implement comprehensive test coverage for data pipelines and ML workflows
- Conduct code reviews and refactoring
- Establish engineering best practices
- Identify data bottlenecks and propose solutions
- Contribute to team roadmaps to unblock research velocity
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- ML DevOps
- LLM
- VLM
- Ray
- AWS
- RLHF
Benefits
Attraktive Vergütung
- Equity packages
Großzügige Elternzeit
- Inclusive parental leave policy
Sonstige Zulagen
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Canva erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Senior Machine Learning Engineer - Multimodal Data(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building multimodal AI data pipelines for agent training at a design platform. Production-grade data pipeline and ML DevOps experience required. Equity packages, flexible leave options.
Anforderungen
- Strong software engineering skills in Python
- Experience building production-grade data pipelines
- ML DevOps experience
- Practical prompt engineering experience
- Designing, testing, refining prompts for LLM/VLM outputs
- Experience with ML data workflows
- Large-scale data processing and loading
- Data versioning experience
- Format considerations for training (tokenization, batching, sharding)
- Hands-on experience with data pipelines for large-scale distributed ML training
- Familiarity with annotation tooling
- Familiarity with human-in-the-loop data collection
- Understanding of ML training requirements
- Knowledge of "good data" for LLM/VLM fine-tuning
- Anticipation of downstream issues
- Experience loading/writing large datasets to/from cloud infrastructure (AWS)
- Experience loading/writing large datasets to/from distributed storage systems
- Strong communication skills
- Ability to work with researchers to scope ambiguous problems
- Ability to translate needs into actionable plans
- Collaborative approach
- Comfortable taking ownership
- Comfortable iterating quickly
- Experience with preference data collection for RLHF
- Experience with reward modelling
- Familiarity with multimodal data (image-text pairs, video, design assets)
- Experience building synthetic data generation pipelines using LLMs
- Background in data quality metrics
- Background in monitoring systems
- Contributions to dataset releases or benchmarks in ML community
Aufgaben
- Design and build data pipelines for agent training
- Collect, filter, deduplicate, format, and version data
- Build and maintain infrastructure for efficient data loading, storage, and retrieval
- Collaborate with research scientists to translate requirements into data specifications
- Create evaluation datasets and benchmarks with researchers
- Curate task distributions to identify real failure modes
- Develop tooling for dataset construction
- Implement human annotation workflows
- Generate synthetic data
- Collect preference data for RLHF/DPO-style training
- Ensure data quality through validation frameworks
- Monitor for data drift and contamination
- Establish standards for trustworthy and reproducible datasets
- Document datasets thoroughly
- Record provenance, known limitations, intended use cases, and versioning history
- Implement comprehensive test coverage for data pipelines and ML workflows
- Conduct code reviews and refactoring
- Establish engineering best practices
- Identify data bottlenecks and propose solutions
- Contribute to team roadmaps to unblock research velocity
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- ML DevOps
- LLM
- VLM
- Ray
- AWS
- RLHF
Benefits
Attraktive Vergütung
- Equity packages
Großzügige Elternzeit
- Inclusive parental leave policy
Sonstige Zulagen
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Canva erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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?
- Canva
Python Backend Engineer - AI Platform Enablement(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWienab 70.000 / Jahr - Canva
Senior Backend Engineer - Research Enablement(m/w/x)
VollzeitRemoteSeniorWien - Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorWienab 52.136 / Jahr - Canva
Machine Learning Engineering Manager - Evaluations(m/w/x)
Vollzeitmit HomeofficeManagementWien - Canva
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Vollzeitmit HomeofficeSeniorWien