MLE, ML Platform
Tasks
- Apply knowledge distillation techniques to compress LLMs
- Build evaluation pipelines for entity linking retrieval semantic consistency
- Collaborate with data engineering to scale research to production
- Develop algorithms for extraction tagging resolution
- Implement LLM alignment distillation and symbolic grounding research
- Prototype models for structured knowledge extraction from text
- Use reinforcement learning and feedback loops to improve model behavior
Perks/Benefits
Skills/Tech-stack
Adapter Layers | BERT | C++ | Curriculum learning | Embeddings | Entity Linking | Evaluation metrics | Graph Algorithms | HuggingFace Transformers | Information Retrieval | Knowledge Distillation | Knowledge graphs | Language Models | Language Processing | Large Language Models | Loss Functions | Machine Learning | Natural Language | Natural Language Processing | Pruning | PyTorch | Python | Quantization | RLHF | Ranking | Ray | Reinforcement Learning | TensorFlow | Training pipelines | Transformers | VLLM
Education
N/A
Regions
Countries
States
Cities
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