Cisco AI Researcher Technical Lead Security 

United States, Georgia, Atlanta 

368713102

The application window is expected to close on January 24, 2025.
Note: This job posting may close earlier if the position is filled or if a sufficient number of applications are received.

What You Will Do

As an AI Researcher Technical Lead for our Security AI team, you will be responsible for leading an innovative team focused on the following:

• Model Training, Optimization, and Evaluation: This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, automated chatbots, content recommendation systems, etc.
• Algorithm Development for Enhanced Language Understanding: Focusing on the development or refinement of algorithms to improve the efficiency and accuracy of language models and understanding and generation tasks.
• Applying LLMs to Cybersecurity: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents.
• Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
• Mentoring and Collaboration: Providing mentorship to team members and working collaboratively with disparate teams to ensure cohesive development and implementation of language model projects.

Basic Qualifications

• Bachelor’s degree with 8+ years or Master’s degree with 6+ years or PhD with 3+ years of software development experience to include industry experience in machine learning and AI research.
• 4+ years of experience in natural language processing tools to include experience with large language models (LLMs), text classification, sentiment analysis and natural language generation.
• 2+ years of experience in Generative AI (GenAI) to include experience with prompt engineering, fine tuning of LLMs, and reasoning-based systems.
• 2+ years of experience leading, coaching and mentoring engineering teams in a direct or indirect capacity

Preferred Qualifications

• Experience in security focused Saas providers
• Experience scaling cloud based solutions at an enterprise level
• Experience in applied science/research
• Skilled in data preprocessing, cleaning, and analysis, with the ability to work with large datasets and extract meaningful insights.
• Bbackground in conducting research, designing experiments, publishing papers, and keeping current with the latest advancements in LLMs.
• The capacity to think critically and tackle complex, innovative problems in the field.
• A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI

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