AI Software Engineer (Hybrid)

AI Researcher Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will solve ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry! As an AI Researcher on this team, you will create novel threat intelligence from open source and open weight AI supply chain sources. Our team has been featured publicly, and is making every security product at Cisco AI aware. As part of this team, you will have the chance to create and use groundbreaking models and infrastructure 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 talented 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 make an enduring impact on AI adoption across the world! As an AI Software Engineer, you will: Track and analyze emerging AI systems, focusing on applications and environments related to security and safety Develop a platform for AI intelligence gathering, data collection, model fine tuning, evaluation and other AI related needs Work on purpose-built security foundational models 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 or Master's with 2 years of related industry experience, or Bachelor's with 4 years of related industry experience Software engineering experience in programming languages such as Python or Golang Experience in ML concepts like bias and variance, supervised & unsupervised learning, Generative AI Preferred Qualifications: Experience developing software for a security/identity/privacy product Experience deploying workloads in a cloud environment: GCP, Azure, AWS Experience with Kubernetes Familiar with traditional ML frameworks like PyTorch Experience reading papers in AI/ML and/or security and translating to prototype systems Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action Ability to use the latest GenAI technologies and creative prompting Excellent written and verbal communication skills, strong analytical and problem-solving skills

Created: 2026-03-04