AI Researcher
Indexed description
About The Role
As an AI Researcher on Cyera’s Research group, you’ll develop and productionize ML/AI models that power our classifications and insights. You’ll partner closely with Product and Engineering to turn open-ended data-security challenges into measurable experiments and shipped features. You’ll own the end-to-end lifecycle - from problem framing and data strategy to evaluation, deployment, and ongoing monitoring - helping customers discover, protect, and govern their data at scale.
What You’ll Do
- Responsible for the end-to-end research process. This includes identifying problems, preparing data, tuning and developing models, deploying to production, and analyzing outcomes.
- 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 data and creatively generate insights that will increase the ability to classify tons of data.
- Develop, evaluate, and maintain deep learning and NLP solutions to enhance Cyera’s core capabilities in sensitive data classification.
- Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems
- Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification.
- Join a “full stack” AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise.
Who You Are
Must-Haves
- BSc in computer science, math, physics, or a related field
- 5+ years of experience as an AI Researcher/NLP Researcher/Applied Scientist/Data Scientist
- Experience with data pipelines / big-data analytics - Must
- Solid grounding in core machine and deep learning concepts and techniques, data challenges (imbalance, scaling etc.), and 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
- Experience in NLP - a significant advantage
Feel free to apply even if your experience doesn’t tick every box.
We’re building something special here - and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.
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