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python tensorflow pytorch llms transformers📋 Description
- Lead long-horizon research using advanced methods (anomaly detection and LLMs).
- Design and prototype LLM workflows (RAG, agents, fine-tuning) for security.
- Bridge academia and industry by applying SOTA concepts to practical tools.
- Build PoCs for production handoff to the engineering team.
🎯 Requirements
- PhD student in Mathematics, CS, Statistics, or related field with ML/NLP/AI focus.
- Prior industry experience (internships or full-time) with noisy real-world data.
- Strong Python and ML frameworks: PyTorch, TensorFlow, Hugging Face.
- Experience with Transformers/LLMs beyond prompting (embeddings, vector databases, fine-tuning).
- Self-starter who can manage research projects with minimal supervision.
- Excellent communication of complex math to engineers and stakeholders (English/Hebrew).
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