Not specified; benefits: 30 days annual leave; fle...
Master's degree in computer science or ai
Proficiency in c++ and python programming
Experience with tensorflow, pytorch, or ray
The role involves developing cutting-edge Deep Reinforcement Learning approaches for autonomous planning and decision-making in complex military operational environments
Job Summary
The role involves developing cutting-edge Deep Reinforcement Learning approaches for autonomous planning and decision-making in complex military operational environments.
Candidates will work in an agile team at the Airbus Innovation Factory in Friedrichshafen/Immenstaad, collaborating with experts in satellite technology, cyber security, and combat cloud systems.
Benefits include 30 days of annual leave, flexible working arrangements such as part-time and mobile work, and extensive opportunities for professional development within a diverse international environment.
Matching Summary
The role involves developing cutting-edge Deep Reinforcement Learning approaches for autonomous planning and decision-making in complex military operational environments.
Salary
Not specified; Benefits: 30 days annual leave; Flexible working options including part-time and job sharing
Skills & Requirements
Must-have
Master's degree in Computer Science or AI
Proficiency in C++ and Python programming
Experience with TensorFlow, PyTorch, or Ray
Knowledge of NumPy, OpenCV, and Qt libraries
Understanding of Deep Reinforcement Learning concepts
Nice-to-have
Agile software development experience (Scrum)
Familiarity with Atlassian tools (JIRA, Confluence)
Experience with GitHub/GitLab and IDEs like PyCharm
Willingness to travel nationally and internationally
Fluent German and English language skills
Key Requirements
Successfully completed Master's degree in Computer Science with AI focus
First practical programming experience in C++, Python, and ML libraries
Secure handling of development environments like GitHub/Gitlab
National and international travel readiness required