We are seeking a Senior NLP/LLM Researcher to conduct advanced research and develop innovative applications focused on protecting and evaluating LLMs & agentic applications. In this role, you will collaborate with a multidisciplinary team of scientists and engineers, working together to address critical challenges. You will be responsible for designing, implementing, and evaluating new algorithms, models, and agents that help safeguard LLMs.

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‍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's policy such as avoiding hallucinations, leaking personal data etc.
• Develop new and unique evaluation methods: Implement and develop advanced metrics to evaluate agents' 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's 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 nd 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.

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