AI Researcher

Cyera Cyera · Vertical AI · Tel Aviv, Israel · Research

AI Researcher focused on developing and productionizing ML/AI models for data security, including sensitive data classification and agentic workflows. Owns the end-to-end lifecycle from problem framing to deployment and monitoring, with a strong emphasis on rigorous evaluation.

What you'd actually do

  1. Responsibility for an end-to-end research process. That includes identifying the problem,, data preparation, model tuning and development to deployment, outcome analysis, and refinement.
  2. You will be a hands-on domain leader, laying the foundations of our data science workflows and algorithms. This is an excellent opportunity to work with endless amounts of user data and creatively generate insights that will increase the ability to classify tons of data.
  3. Develop, evaluate, and maintain deep learning and NLP solutions to enhance Cyera’s core capabilities in sensitive data classification.
  4. Design and architect production-grade agentic workflows using advanced context engineering. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems
  5. Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification.

Skills

Required

  • BSc in computer science, math, physics, or a related field
  • 5+ years of experience as a AI Researcher
  • Experience with data pipelines / big-data analytics
  • Solid grounding in core machine and deep learning concepts and techniques, data & challenges (imbalance, scaling etc.), evaluation
  • Demonstrated expertise in applying LLMs - prompt engineering and prompt tuning (few-shot, chain-of-thought, tool/function calling, routing), task adaptation (instruction/SFT, PEFT/LoRA, DPO/RLHF), retrieval-augmented generation, rigorous evaluation and production deployment with appropriate safety, latency, and cost controls.
  • Self-learner, initiator, able to quickly learn new technologies

Nice to have

  • NLP
  • MSc in computer science, math, physics, or related field

What the JD emphasized

  • Experience with data pipelines / big-data analytics - Must
  • Demonstrated expertise in applying LLMs
  • Experience in NLP - a significant advantage

Other signals

  • Develop and productionize ML/AI models
  • End-to-end lifecycle ownership
  • Sensitive data classification
  • Agentic workflows
  • Rigorous evaluation pipelines