AI Red Teamer

6 days ago

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HiddenLayer

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HiddenLayer is the first dedicated security platform for artificial intelligence, designed to protect AI models from adversarial attacks that can threaten business advantages. Partnered with Microsoft Azure, HiddenLayer provides a suite of solutions including AI detection and response, security scanning, and automated reporting to safeguard machine learning algorithms without needing access to the underlying data. Founded by professionals with extensive backgrounds in AI and security, HiddenLayer aims to provide a straightforward and effective way for enterprises to secure their AI assets.

Security for AI • Cyber Security • Gen AI Security • Adversarial ML Training • AI Detection & Response

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🔒 Cybersecurity

💳 Fintech

📋 Description

•As an AI Red Teamer at HiddenLayer, you will play a pivotal role in the ML Threat Operations group. •In this role will evaluate the security of AI systems, focusing on both predictive and generative AI models. •You will identify vulnerabilities, simulate adversarial attacks, and provide actionable recommendations to improve the security of AI systems. •The ideal candidate is a proactive problem solver with hands-on experience in AI security testing and a deep understanding of machine learning models and adversarial techniques. •Conduct end to end penetration testing on AI systems, with a focus on predictive and generative AI models. •Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to identify weaknesses in predictive models. •Collaborate with data scientists, engineers, and research teams to design and implement novel attacks and relate them back to actionable recommendations. •Stay current with the latest AI security research, trends, and adversarial tactics. •Produce detailed reports outlining vulnerabilities, risks, and actionable recommendations. •Contribute to the development of internal tools and frameworks for AI red teaming. •This role presents an exciting opportunity to be at the forefront of defending against evolving threats to artificial intelligence and machine learning systems. If you are passionate about cybersecurity, artificial intelligence, machine learning, and making a significant impact in the security landscape, we encourage you to apply and join our dynamic team.

🎯 Requirements

•3+ years of experience in penetration testing, with at least 1 year focused on AI systems. •Deep understanding of attack techniques specific to machine learning and artificial intelligence systems (data poisoning, inference attacks, model injection, prompt injection, jailbreaking, etc.). •Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox, CleverHans, ART, or proprietary solutions). •Excellent communication skills with the ability to articulate complex concepts clearly to both technical and non-technical audiences. •Understanding of machine learning concepts and algorithms. •Strong problem-solving skills and the ability to think creatively to anticipate potential attack vectors. •Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras.