LLM & Agent Algorithm Intern (Search) - 2027 Start (PhD)
Tasks
- Automate hyperparameter tuning and training pipeline
- Build agent execution framework for tool calling planning and memory
- Build and optimize search domain LLM foundation
- Build long term memory mechanisms for LLMs
- Build multimodal AIGC creation using image and video generation
- Build online reward verifier systems
- Create automated evaluation frameworks for long cycle tasks
- Develop long horizon task agents for persistent intent
- Develop multi agent orchestration for scheduling allocation and communication
- Develop post training pipeline for search LLMs
- Develop recursive self improvement workflows
- Evaluate multi agent collaboration and cross domain capabilities
- Implement agent loop training inference evaluation closed loop
- Implement visual search and on device intelligence with object detection and OCR
- Integrate search knowledge into LLMs
- Optimize LLM inference for long context
- Optimize model compression and inference acceleration
- Synthesize and evaluate synthetic training data
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Agent systems | Agents | Automated Evaluation | Context modeling | Data Synthesis | Deep learning | Distributed Training | Fine Tuning | Human Feedback | Knowledge Distillation | Language Models | Large Language Models | Learning from Human Feedback | Long Context | Long Context Modeling | Machine Learning | MapReduce | Mixed Precision | Mixed-precision training | Model Alignment | Model Compression | Model Fine-tuning | Model Training | Multi-Agent | Multi-Agent Systems | Orchestration | Planning | Pruning | PyTorch | Quantization | RAG | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Reward Modeling | Self-Improvement | Spark | Synthetic data | TensorFlow | TensorRT | Tool-Calling | Verifier Systems
Education
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