We are seeking an advanced PhD Candidate to join our Data Research team as a part-time researcher and subject matter expert. The core team is responsible for building and shipping data science algorithms for product line, with a special emphasis on Cyber Security.
We are opening this specialized role to tackle longer-term, high-complexity research initiatives that require deep academic rigor. You will focus on bringing State-of-the-Art methodologies, with an emphasis in LLMs and Advanced NLP, into our ecosystem.
This role is designed for a researcher who is "hands-on." We value deep theoretical knowledge, but we require the ability to translate that theory into productive, working code within a limited timeframe.
What youll be doing:
Long-Horizon Research: Lead specific, deep-dive research initiatives that require advanced methodology (e.g., novel anomaly detection architectures or LLM-based reasoning for security threats) without the pressure of daily sprint cycles.
LLM Innovation: Design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) to solve specific security challenges that standard APIs cannot handle.
Academic-to-Industry Bridge: Act as a knowledge hub for the team; bring SOTA academic concepts, recent paper findings, and novel techniques into the teams toolkit.
High-Impact Prototyping: Build functional Proofs of Concept (POCs) that the full-time engineering team can eventually operationalize.
Requirements: Current enrollment in a PhD program (Mathematics, Computer Science, Statistics, or related field) with a focus on Machine Learning, NLP, or AI.
Previous industry experience (internships or full-time) demonstrating the ability to work with noisy, real-world data.
Deep Practical Engineering: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Hugging Face).
LLM Expertise: Demonstrated experience working with Transformers and LLMs beyond simple prompting (e.g., experience with embeddings, vector databases, quantization, or fine-tuning).
Self-Starter: Proven ability to manage research projects independently with minimal supervision.
Communication: Excellent ability to explain complex mathematical concepts to engineers and stakeholders (English/Hebrew).
Preferred:
A track record of publications in top-tier conferences (NeurIPS, ICML, ICLR, ACL, etc.).
Background or strong interest in Cyber Security.
Experience with cloud environments (AWS/Azure/GCP) and distributed data tools (Spark/Databricks).
This position is open to all candidates.