Overview
On Site
190k} - 240k}
Full Time
Skills
Management
Prompt Engineering
Cloud computing
Continuous improvement
Computer science
Security engineering
FOCUS
Large Language Models (LLMs)
Cloud security
Training
Machine Learning (ML)
Artificial intelligence
Research
Python
Communication
Leadership
Job Details
Senior AI Security Researcher to lead and own the AI stack within the product.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Own and manage the AI stack, from model development, fine-tuning, and deployment to optimizing prompt engineering.
- Research and implement novel AI techniques to enhance threat detection, behavioral analysis, and automated responses in cloud-native environments.
- Monitor and analyze the performance of AI models, ensuring continuous improvement and minimizing false positives in threat detection.
- Stay up to date with the latest advancements in AI and machine learning, particularly in security applications.
Qualifications:
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of security engineering experience, with a focus on detection and response.
- Strong knowledge of machine learning techniques, fine-tuning, and large language models (LLMs).
- Experience with eBPF, runtime security, or cloud security is a plus.
- Expertise in designing, training, and deploying machine learning models in production environments.
- Ability to translate AI research into practical security solutions.
- Strong programming skills in Python or similar languages.
- Excellent communication and leadership skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.