Software Engineer, AI Security

As a Software Engineer, AI Security you will:

• Become an expert researcher in emerging threats to AI systems, focusing on AI/ML models, applications, and environments.
• Collaborate with senior team members to develop and implement detection and mitigation strategies for identified threats.
• Help train state-of-the-art robust ML models for critical security tasks.
• Participate in red-teaming exercises and vulnerability assessments of generative AI technologies to identify potential security and safety weaknesses.
• Support the team in scripting and automation tasks using Python to enhance our security frameworks, toolsets, and demos.
• Work with AI Security and ML engineers and researchers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

What we look for:

• Degree in Computer Science, Artificial Intelligence, or Applied Math
• 1-3 years of work experience in tech industry
• Background in AI, machine learning, and deep learning.
• Understanding of generative AI models/applications and their potential security implications.
• Strong programming skills in generic programming languages such as Python, Javascript, and/or Golang.
• Ability to quickly learn new technologies and concepts and to understand a wide variety of technical challenges to be solved.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills, including process documentation, report writing, and presentations.

Preferred qualifications:

• Participation in cybersecurity or AI workshops, Capture The Flags (AI Village, etc.), or hackathons.
• Publications in areas of machine learning and/or cyber security (papers, blogs, open source projects, etc.)
• Experience in writing software and conducting experiments that involve large AI models and datasets
• Contribution to open source software projects
• Exposure to offensive security concepts, threat actor behaviors, and threat modeling.
• Interest in dataset curation, generation, and the ethical implications of AI.
• Ability to quickly learn new technologies and concepts and to understand a wide variety of technical challenges to be solved.