AI Researcher
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94118, USA
Listed on 2026-02-17
San Francisco, San Francisco County, California, 94118, USA
Listing for:
Cisco Systems, Inc.
Remote/Work from Home
position Listed on 2026-02-17
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cybersecurity, Artificial Intelligence
Job Description & How to Apply Below
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
The application window is expected to close on 2/1/2026.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work.
Meet the Team
Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI 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.
About Robust Intelligence
Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, Fin Tech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies.
The company was acquired by Cisco in 2024.
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 make an enduring impact on AI adoption across the world.
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 Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related 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, Tensor Flow and ability to use the latest GenAI technologies
*…
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