Multimodal AI Agent Algorithm Engineer
Tasks
- Build agent architectures for large models
- Design multi task interaction
- Develop intelligent agent algorithms
- Develop large model and reinforcement learning integration
- Fine tune large models for agents
- Implement decision making control
- Implement dialogue systems
- Integrate knowledge graphs with agents
- Integrate multimodal perception
- Lead algorithm research and optimization
- Manage task planning and memory
- Optimize tool invocation
- Use environmental simulators to train agents
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | C++ | Deep learning | Distributed Training | Environmental simulation | Fine Tuning | Go | Java | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Vision | Memory Management | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Speech Processing | Task planning | TensorFlow | Tool invocation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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