2026 - Senior AI Researcher - Autonomous AI Agents for Telecommunication Networks - Permanent
Tasks
- Apply reinforcement learning for sequential decision making
- Benchmark alternative solutions
- Build reasoning and planning for network operations
- Collaborate with domain experts, data engineers, and product teams
- Define research direction and solution designs
- Design multi agent learning coordination and negotiation
- Develop foundation model architectures
- Develop validated software prototypes
- Enable semantic communication
- Implement agent memory management
- Lead autonomous AI agent research
- Perform state of the art assessment of AI technologies for autonomous networks
- Provide technical guidance and mentorship
- Synthesize research insights for strategic planning
Perks/Benefits
Skills/Tech-stack
Agent systems | Artificial Intelligence | Deep learning | Foundation Models | Language Models | Language Processing | Large Language Models | Machine Learning | Mathematics | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Planning | PyTorch | Python | Reasoning | Reinforcement Learning | Scikit-learn | Semantic Communication | Statistics | TensorFlow
Education
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