Bosch Group
Research Engineer Neuro-Symbolic AI & Mulitmodal Assistant Systems(m/w/x)
Full-timeWith HomeofficeNot specified
Renningen
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BOBosch Group
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Renningen
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexible Working
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Informal Culture
- Diverse and inclusive culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Renningen
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexible Working
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Informal Culture
- Diverse and inclusive culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
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AI Feature Development Tech Lead(m/w/x)
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