Canva
Senior Machine Learning Engineer - Agents data(m/w/x)
VollzeitRemoteSenior
Wien
Neuer Job?Nejo!
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CACanva
Senior Research Scientist - Reinforcement Learning, MoEs(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing multimodal agentic systems, scaling reinforcement learning across distributed systems for a design platform. Expertise in LLMs, VLMs, and Diffusion models, with strong experimental design skills, required. Equity packages, annual Vibe & Thrive allowance, flexible leave.
Anforderungen
- Expertise in MoEs, LLMs, VLMs, and Diffusion
- Experience modifying and adapting open-source models
- Strong experimental design and reproducibility skills
- Fluency in Python and PyTorch
- Experience building and evaluating agent loops
- Hands-on experience with policy optimization
- Experience with large-scale distributed training
- Experience with RL for MoE architectures
- Experience with video and audio modelling
- Experience with multi-agent settings
- Strength in alignment and safety evaluations
- Contributions to open-source or benchmarks
Aufgaben
- Develop multimodal agentic systems
- Design reward models and learning loops
- Scale reinforcement learning across distributed systems
- Optimize mixture-of-experts architectures
- Build scalable training and evaluation loops
- Construct datasets for post-training
- Design experiments for policy optimization
- Develop simulation and sandbox tasks
- Identify failure modes like hallucinations
- Implement offline suites and A/B tests
- Collaborate with product and platform teams
- Mentor teammates and share research findings
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MoEs
- LLMs
- VLMs
- Diffusion models
- Python
- PyTorch
- RLHF
- RLAIF
- DPO
- IPO
- actor-critic
- PPO
- offline RL
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.
Noch nicht perfekt?
- Canva
Senior Research Engineer - Design Generation(m/w/x)
Vollzeitmit HomeofficeSeniorWien - Canva
Machine Learning Engineering Manager - Evaluations(m/w/x)
Vollzeitmit HomeofficeManagementWien - Sportradar
Senior ML Engineer(m/w/x)
Vollzeitmit HomeofficeManagementWien - craftworks GmbH
Senior Data Scientist - Focus Industrial AI(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 55.000 / Jahr
CACanva
Senior Research Scientist - Reinforcement Learning, MoEs(m/w/x)
Wien
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing multimodal agentic systems, scaling reinforcement learning across distributed systems for a design platform. Expertise in LLMs, VLMs, and Diffusion models, with strong experimental design skills, required. Equity packages, annual Vibe & Thrive allowance, flexible leave.
Anforderungen
- Expertise in MoEs, LLMs, VLMs, and Diffusion
- Experience modifying and adapting open-source models
- Strong experimental design and reproducibility skills
- Fluency in Python and PyTorch
- Experience building and evaluating agent loops
- Hands-on experience with policy optimization
- Experience with large-scale distributed training
- Experience with RL for MoE architectures
- Experience with video and audio modelling
- Experience with multi-agent settings
- Strength in alignment and safety evaluations
- Contributions to open-source or benchmarks
Aufgaben
- Develop multimodal agentic systems
- Design reward models and learning loops
- Scale reinforcement learning across distributed systems
- Optimize mixture-of-experts architectures
- Build scalable training and evaluation loops
- Construct datasets for post-training
- Design experiments for policy optimization
- Develop simulation and sandbox tasks
- Identify failure modes like hallucinations
- Implement offline suites and A/B tests
- Collaborate with product and platform teams
- Mentor teammates and share research findings
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MoEs
- LLMs
- VLMs
- Diffusion models
- Python
- PyTorch
- RLHF
- RLAIF
- DPO
- IPO
- actor-critic
- PPO
- offline RL
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.
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
Senior Machine Learning Engineer - Agents data(m/w/x)
VollzeitRemoteSeniorWien - Canva
Senior Research Engineer - Design Generation(m/w/x)
Vollzeitmit HomeofficeSeniorWien - Canva
Machine Learning Engineering Manager - Evaluations(m/w/x)
Vollzeitmit HomeofficeManagementWien - Sportradar
Senior ML Engineer(m/w/x)
Vollzeitmit HomeofficeManagementWien - craftworks GmbH
Senior Data Scientist - Focus Industrial AI(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 55.000 / Jahr