LLM/Multimodal AI Engineer Intern (TikTok Search) - 2027 Start
Tasks
- Analyze ranking features
- Analyze reinforcement learning feedback
- Construct retrieval data
- Develop AI search agent components
- Evaluate answer quality
- Fine-tune LLMs
- Optimize RAG and LLM pipelines
- Optimize prompts
- Perform offline evaluation of model outputs
- Plan memory tool use and evaluation modules
- Prepare data for LLM adaptation experiments
- Prototype validate and iterate algorithm modules
- Support LLM query understanding
- Support multimodal representation learning
- Support video understanding
- Track metrics
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Fine Tuning | Information Retrieval | Language Processing | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Ranking | Recommender Systems | Reinforcement Learning | Retrieval-Augmented Generation | Supervised Fine Tuning | Tool use
Education
N/A
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