Data Science Researcher (Part-Time 25%)

<h2><strong>Data Science Researcher (Part-Time 25%)</strong></h2> <p><strong>Team:</strong> Data Research Team </p> <p><strong>Time Commitment:</strong> 25% (approx. 1 day a week)</p> <p><strong>Location: </strong>Tel Aviv, Israel</p> <h3><strong>About the Role</strong></h3> <p>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 Rubrik’s product line, with a special emphasis on Cyber Security.</p> <p>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.</p> <p>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.</p> <h3><strong>What you’ll be doing</strong></h3> <ul> <li><strong>Long-Horizon Research:</strong> 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.</li> <li><strong>LLM Innovation:</strong> Design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) to solve specific security challenges that standard APIs cannot handle.</li> <li><strong>Academic-to-Industry Bridge:</strong> Act as a knowledge hub for the team; bring SOTA academic concepts, recent paper findings, and novel techniques into the team’s toolkit.</li> <li><strong>High-Impact Prototyping:</strong> Build functional Proofs of Concept (POCs) that the full-time engineering team can eventually operationalize.</li> </ul> <h3><strong>Qualifications</strong></h3> <p><strong>Required:</strong></p> <ul> <li><strong>Current enrollment in a PhD program</strong> (Mathematics, Computer Science, Statistics, or related field) with a focus on Machine Learning, NLP, or AI.</li> <li><strong>Previous industry experience</strong> (internships or full-time) demonstrating the ability to work with noisy, real-world data.</li> <li><strong>Deep Practical Engineering:</strong> Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Hugging Face).</li> <li><strong>LLM Expertise:</strong> Demonstrated experience working with Transformers and LLMs beyond simple prompting (e.