
- מיקום
- כל הארץ
- היקף משרה
- משרה מלאה
- תפקיד
- דאטה סיינטיסט
תיאור המשרה
Key Responsibilities:
- Create real-time protections: Develop innovative methods to detect and mitigate adversarial attacks on agents and keep them in line with the organization%27s policy such as avoiding hallucinations, leaking personal data etc.
- Develop new and unique evaluation methods: Implement and develop advanced metrics to evaluate agents%27 performance on multiple fronts.
- Research and Development: Conduct research on adversarial attacks, model protections and performance evaluation techniques for NLP models. Explore and develop state-of-the-art methods and propose innovative solutions.
- Collaboration: Work closely with other team members, participate in brainstorming sessions, and contribute to the team%27s success.
Qualifications:
- Professional Experience:
- MSc. / PhD in Computer Science, Mathematics, or a related data-focused field And 4 years of data science experience.
- Or BSc. in Computer Science, Mathematics, or a related data-focused field And 7 years of data science experience.
- At least 3 years of experience in NLP.
- Professional Experience Advantages:
- Cyber Security Research & Red Teaming: Experience in identifying, exploiting, and/or mitigating security vulnerabilities through hands-on research & adversarial testing.
- LLM safety & alignment: Experience developing & training LLM guardrails, such as jailbreak defenses, PII detection, content moderation etc.
- Agents & tool-using LLMs: Experience building, evaluating or red-teaming agentic systems.
- Technical Skills: Proficiency in Python and deep learning frameworks like PyTorch and transformers.
- Strong mathematical background to understand and apply complex concepts. Ability to translate research findings into practical applications.
- Excellent interpersonal skills for effective collaboration and teamwork.
- Research Experience in conducting theoretical or experimental research, using statistical tools and mathematical formulations to solve complex problems.
- Professional Experience in developing products in production environments, creating features from conception to completion.