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Foundation AI's mission is to secure AI transformation. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

Requirements

• Experience in AI, machine learning, and deep learning technologies
• Experience with generic programming languages such as Python
• Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models
• Experience reading academic papers on AI/ML and security and translating to prototype systems
• Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks
• Experience with reinforcement learning and its application in foundation models.
• Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies

Responsibilities

• Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
• Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
• Develop and train AI reasoning models for security applications.
• Develop agentic models with the aim of automating security testing.
• Author blog posts, white papers, or research papers related to emerging threats in AI security.
• Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features.

Other

• Preference for Boston Metro candidates that can work hybrid in the Downtown Boston office one to two days week. However, open to remote locations within the US.
• Strong preference will be given to candidates located in Austin, TX; Dallas Metro; Boulder, CO; Bay Area Metro; Atlanta Metro; Ann Arbor, MI; Boston Metro; Fulton/DC Metro; Seattle, WA; and Research Triangle Park
• A PhD in computer science or related fields with 3 years of industry or academic experience in artificial intelligence, or Master’s with 5 years of related industry experience or Bachelor’s with 8 years of related industry experience
• Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action
• Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best