Dein persönlicher KI-Karriere-Agent
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Architecting multi-modal large models and multi-agent systems for industrial technology applications. PhD in Computer Science and strong publication record in leading AI conferences required. Flexible mobile working and job sharing options.
Anforderungen
- PhD in Computer Science or related
- Strong publication record in leading conferences
- Experience in Deep Reinforcement Learning
- Expertise in Safe or Multi-agent RL
- Track record with Agentic AI/LLMs
- Experience with advanced fine-tuning methods
- Excellent knowledge of Python
- Knowledge of Machine Learning frameworks
- Good knowledge of C++
- Software development experience in teams
- Background in MLOps and CI/CD
- Methodical and solution-oriented approach
- High-quality standards and responsibility
- Ability to drive AI implementations
- Enthusiasm for solving technical challenges
- Very good English skills
- German language skills as a plus
Aufgaben
- Architect, develop, and deploy sophisticated AI systems
- Integrate reinforcement learning with agentic AI and multi-modal models
- Train and fine-tune multi-modal large models
- Align model behaviors with product requirements and use cases
- Enhance existing machine learning systems
- Integrate generative approaches with safe reinforcement learning algorithms
- Conduct original research at the confluence of RL and agentic AI
- Lead high-impact projects to solve scientific and applied problems
- Partner with internal customers and product teams
- Conceptualize innovative solutions and deliver high-quality MVPs
- Publish and present research findings in premier academic venues
- Contribute actively to the broader scientific community
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Lockere Unternehmenskultur
- Diverse and inclusive culture
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Noch nicht perfekt?
- Bosch GroupVollzeit/Teilzeitmit HomeofficeSeniorRenningen
- Bosch Group
Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications(m/w/x)
Vollzeitmit HomeofficeSeniorRenningen - Bosch Group
AI Feature Development Tech Lead(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRenningen - Bosch Group
Promotion (PhD): KI-basierte Lernstrategien für Smart Manufacturing im europäischen HORIZON-Projekt(m/w/x)
VollzeitFreelancemit HomeofficeKeine AngabeStuttgart - Olmatic GmbH
AI & ML Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenStuttgart, München
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Architecting multi-modal large models and multi-agent systems for industrial technology applications. PhD in Computer Science and strong publication record in leading AI conferences required. Flexible mobile working and job sharing options.
Anforderungen
- PhD in Computer Science or related
- Strong publication record in leading conferences
- Experience in Deep Reinforcement Learning
- Expertise in Safe or Multi-agent RL
- Track record with Agentic AI/LLMs
- Experience with advanced fine-tuning methods
- Excellent knowledge of Python
- Knowledge of Machine Learning frameworks
- Good knowledge of C++
- Software development experience in teams
- Background in MLOps and CI/CD
- Methodical and solution-oriented approach
- High-quality standards and responsibility
- Ability to drive AI implementations
- Enthusiasm for solving technical challenges
- Very good English skills
- German language skills as a plus
Aufgaben
- Architect, develop, and deploy sophisticated AI systems
- Integrate reinforcement learning with agentic AI and multi-modal models
- Train and fine-tune multi-modal large models
- Align model behaviors with product requirements and use cases
- Enhance existing machine learning systems
- Integrate generative approaches with safe reinforcement learning algorithms
- Conduct original research at the confluence of RL and agentic AI
- Lead high-impact projects to solve scientific and applied problems
- Partner with internal customers and product teams
- Conceptualize innovative solutions and deliver high-quality MVPs
- Publish and present research findings in premier academic venues
- Contribute actively to the broader scientific community
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Lockere Unternehmenskultur
- Diverse and inclusive culture
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bosch Group
Branche
Engineering
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- Bosch Group
Research Engineer for AI Validation(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRenningen - Bosch Group
Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications(m/w/x)
Vollzeitmit HomeofficeSeniorRenningen - Bosch Group
AI Feature Development Tech Lead(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRenningen - Bosch Group
Promotion (PhD): KI-basierte Lernstrategien für Smart Manufacturing im europäischen HORIZON-Projekt(m/w/x)
VollzeitFreelancemit HomeofficeKeine AngabeStuttgart - Olmatic GmbH
AI & ML Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenStuttgart, München