Cisco AI Researcher Technical Lead Software & Platform 

United States, Georgia, Atlanta 

585452883

The application window is expected to close on April 1, 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 AI Software & Platform 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.
• Background 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

technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.