Cisco

Lead AI Researcher (Hybrid)

Cisco$216K — $280K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in STEM with 12+ years of experience or a Master's degree in STEM with 8+ years of experience, or a PhD in STEM with 5+ years of relevant research experience.
  • Experience leading or contributing to full-cycle pre-training projects for Large Language Models (LLM).
  • Minimum of 3 peer-reviewed publications in top-tier AI conferences.
  • 3+ years of experience using PyTorch or TensorFlow on distributed computing clusters.
  • 2+ years of experience applying machine learning to networking, data center, security, or observability datasets.

Responsibilities

  • Lead development of large language models for Cisco's networking security and infrastructure.
  • Drive advanced pre-training initiatives for foundational AI models.
  • Conduct innovative research in generative AI for networking automation and human-computer interaction improvements.
  • Collaborate with engineering and strategy teams to integrate research into business solutions.
  • Establish Cisco as a thought leader by publishing research in top-tier AI venues.

Benefits

  • Hybrid work model based in Seattle or San Jose offices.
  • Opportunity to influence AI research at a global scale.
  • Access to cutting-edge technology and high-performance computing clusters.
  • Collaboration with cross-functional teams across various specialties.
Full Job Description
The application window is expected to close on: 09/14/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

This is a hybrid role based out of Cisco's Seattle or San Jose office.

Your Impact

As a Lead AI Researcher, you will serve as a foundational architect for Cisco's proprietary intelligence, directly influencing how we secure and automate the global network. You will bridge the gap between cutting-edge generative AI research and real-world infrastructure, moving beyond standard fine-tuning to lead high-stakes, end-to-end pre-training initiatives. This role offers the unique opportunity to define the future of networking by building models that are purpose-built for Cisco's massive scale and unique security requirements. By tackling the most complex challenges in foundation model development, you will ensure our technology remains at the forefront of the AI era, directly impacting the performance and intelligence of the world's digital backbone.
  • Lead the development of purpose-built large language models to secure and optimize Cisco's proprietary networking, security, data center, and observability infrastructure.
  • Drive advanced pre-training initiatives to build foundational models that provide unique, competitive value across our product portfolio.
  • Conduct innovative research in generative AI to improve model capabilities for networking automation and human-computer interaction.
  • Collaborate with cross-functional teams of engineers and strategists to integrate research breakthroughs into tangible business solutions.
  • Establish Cisco as a global thought leader by publishing research in top-tier AI venues and contributing to the broader scientific community.


Minimum Qualifications
  • Bachelor's degree in STEM with 12+ years of experience or a Master's degree in STEM with 8+ years of experience, or a PhD in STEM or a related technical field with 5+ years of relevant research experience,
  • Experience leading or contributing to at least one full-cycle pre-training, distillation based pre-training or continual pre-training project for a Large Language Model (LLM) or foundational model, including dataset curation, tokenization strategy, and training pipeline execution.
  • Minimum of 3 peer-reviewed publications in top-tier AI venues such as ACL, EMNLP, ICLR, ICML, NAACL, or NeurIPS.
  • 3+ years of experience utilizing PyTorch or TensorFlow to implement and train models on distributed computing clusters (e.g., environments utilizing 100+ GPUs).
  • 2+ years of experience applying machine learning models to networking, data center, security, or observability datasets to solve complex system-level problems.


Preferred Qualifications
  • Experience working in an industrial research lab environment, driving projects from conceptual research to practical application.
  • Subject matter expertise in networking, cybersecurity, or observability, and the ability to apply AI to these complex domains.
  • Strong interpersonal and communication skills, with the ability to influence technical direction and build consensus among stakeholders.
  • Proven ability to translate abstract research findings into innovative, scalable product features.

About Cisco

Cisco Careers

Join the vibrant team at Cisco, a global leader in networking and cybersecurity solutions, where innovation and leadership thrive. Cisco offers a plethora of job opportunities that cater to a range of skills and experiences, making it an ideal place for both seasoned professionals and those seeking an internship to jumpstart their career. Work You’ll Do At Cisco, you’ll be part of a culture that values diversity, leadership, and professional growth. Engage in work that matters with a team that combines technology, creativity, and the power of human connection to redefine networking. Cisco’s commitment to innovation isn’t just about technology, but also about transforming the way we work and collaborate. Cisco’s employment philosophy supports career advancement and nurtures a leadership pipeline that is equipped with diversity training and opportunities for growth. Whether you’re applying your skills to drive our latest innovations or using our vast networking capabilities to solve complex problems, at Cisco, every role is impactful. Join Our Dynamic Team Explore job opportunities in areas ranging from engineering to marketing, sales to cybersecurity. Cisco is hiring individuals who are passionate, curious, and ready to drive change. Positions at Cisco offer competitive benefits, a supportive culture, and the chance to work with cutting-edge technology. Internship Programs Kickstart your career with a Cisco internship. Gain invaluable industry experience, enhance your resume, and build professional networks that last a lifetime. Our internships provide hands-on experience and the chance to work on projects that matter. Leadership and Development Cisco is committed to fostering leadership skills and providing employees with the training needed to succeed. Our leadership programs help you develop new skills, manage teams effectively, and lead with confidence. Cisco’s commitment to professional development ensures that your career path is as dynamic as our technologies. Benefits and Culture Cisco understands the importance of a balanced life. Our benefits package is designed to ensure that our team members are healthy, happy, and secure. At Cisco, you’ll find a supportive culture that encourages open communication, teamwork, and mutual respect. Stay Connected Join Cisco’s Talent Network Stay informed about new positions that match your skills and interests. At Cisco, we value the curiosity and unique perspectives of our team members. Subscribe to receive personalized job alerts and insider tips directly from our hiring managers. Explore Cisco Jobs Ready to advance your career at Cisco? Search open positions, prepare your resume, and get ready for an interview that could lead to your next big opportunity. At Cisco, we’re not just filling positions—we’re investing in leaders. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await you at Cisco.
Learn more about Cisco
Size
79,500 employees
Market Cap
$194.5 billion
Industry
Net Income
$10.1 billion
Founded
2014
5 Year Trend
+1.4%
Revenue
$48 billion
NASDAQ

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