CA
Canva7 Tage
Senior Machine Learning Engineer - Agents data(m/w/x)
Vollzeit
Remote
Senior
AI/ML Job
Data Science
Keine Angabe
Wien
Nejo KI-Zusammenfassung
In this role, you will be at the forefront of machine learning, designing data pipelines and collaborating with researchers to ensure high-quality datasets. Your work will directly impact the development of innovative multimodal agents, making a real difference in AI initiatives.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Strong software engineering skills in Python
- •Practical experience with prompt engineering
- •Experience with ML data workflows
- •Hands-on experience with data pipelines for ML training
- •Familiarity with annotation tooling and data collection
- •Understanding of ML training requirements
- •Experience loading and writing large datasets to/from cloud infrastructure
- •Strong communication skills
- •Collaborative approach and ownership
- •Experience with preference data collection for RLHF
- •Familiarity with multimodal data
- •Experience building synthetic data generation pipelines
- •Background in data quality metrics and monitoring
- •Contributions to dataset releases or benchmarks
Keine Angabe
Berufserfahrung
ca. 4 – 6 Jahre
Deine Aufgaben
- •Design and build data pipelines for agent training
- •Collect, filter, deduplicate, format, and version data from multimodal sources
- •Develop tools for dataset construction, including annotation workflows and synthetic data generation
- •Own data quality by building validation frameworks and monitoring for drift and contamination
- •Create evaluation datasets and benchmarks in collaboration with researchers
- •Build and maintain infrastructure for efficient data loading, storage, and retrieval
- •Collaborate with research scientists to translate research requirements into data specifications
- •Document datasets thoroughly, including provenance and intended use cases
- •Profile and optimize research code for training and inference efficiency
- •Implement comprehensive test coverage for data pipelines and ML workflows
- •Elevate codebase quality through code reviews and refactoring
- •Contribute to team roadmaps by identifying data bottlenecks and proposing solutions
Tools & Technologien
PythonRayAWS
Sprachen
Englisch – verhandlungssicher
Deine Vorteile
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.
Ähnliche Jobs direkt in deine Inbox?