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Cisco AI Researcher 
United States, California, San Francisco 
915365179

Yesterday

The application window is expected to close on 5/28/2025.

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and ma

As an AI researcher, you will

  • 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. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Minimum Qualifications:

  • A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, or Master’s with 7 years of related industry experience or Bachelor’s with 10 years of related industry experience
  • 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

Preferred Qualifications:

  • 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 fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action
  • Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies
  • Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best