Offer summary

Qualifications:

Strong background in LLMs and multi-agent systems., Experience leading AI teams and collaborating with cross-functional groups., Familiarity with data collection and model performance in production environments., Deep understanding of AI ethics, focusing on model safety and responsible AI use..

Key responsibilities:

Design, develop, and deploy AI models for vulnerability detection.

Collaborate with AI engineering teams and security researchers to enhance system effectiveness.

Oversee data collection, benchmarking, and analysis for model performance improvement.

Contribute to research papers and presentations showcasing AI advancements.

Job description

Are you an AI expert with a passion for cutting-edge technology?
Do you have a track record of designing innovative AI solutions that drive impact?
One of our customers is looking for a Lead AI Scientist to lead their AI team.

Role Overview:

As the Lead AI Scientist, you’ll play a critical role in advancing our AI-driven capabilities for vulnerability detection. You’ll lead the research of a talented team to design, develop, and deploy sophisticated AI logic, with Large Language Models (LLMs) and multi-agent systems.

Responsibilities:

Design, develop, and deploy AI models for vulnerability detection and reconnaissance
Application of LLMs and multi-agent systems to push the boundaries of cybersecurity
Collaborate with AI engineering teams and security researchers to enhance the effectiveness of our systems
Oversee and perform data collection, benchmarking, and analysis to continuously improve model performance
Ensure scalability, accuracy, and cost-effectiveness of AI models in production environments
Contribute to research papers, blog posts, and presentations that showcase our AI advancements
Ensure AI ethics with a strong focus on model safety, fairness, and transparency

Requirements:

Strong background in LLMs, multi-agent systems, and state-of-the-art AI techniques and tools
Experience leading AI teams and collaborating with cross-functional engineering and research groups
Familiarity with data collection, benchmarking, and ensuring model performance in production environments
A deep understanding of AI ethics, with a focus on model safety and responsible AI use
Strong communication skills to contribute to research papers, blog posts, and presentations

Perks:

Competitive salary and potential for stock options, directly linking your success to the company's growth.
A dynamic, agile work environment where your contributions lead to tangible
impact.
A chance to be at the forefront of Security innovation.
Flexible hybrid work arrangement and a healthy work-life balance.
Provided MacBook, monitor, and other essential tools.
Health Insurance
Engaging work culture, including quarterly team-building events.

Required profile