Job Description

Cisco invites exceptional talent to join its AI Research team as a Machine Learning Engineer based in San Jose, California or Seattle, Washington . This full-time professional role offers an opportunity to advance state-of-the-art research in Generative AI , Large Language Models (LLMs) , and multi-modal systems , driving innovations that shape the future of secure, intelligent networking.

Cisco is one of the worlds most trusted technology companies, connecting people, businesses, and communities across the globe. Nearly every internet connection touches Cisco technology, and the company remains at the forefront of powering a more inclusive and digital future.

About the Team

The Cisco AI Research group is a cross-disciplinary unit of AI scientists, data specialists, and network engineers who collaborate on pioneering research at scale. The team focuses on both basic and applied AI research, addressing complex challenges that emerge when connecting billions of people and devices worldwide.

This role offers the opportunity to work alongside thought leaders in artificial intelligence, distributed systems, and network automation. The successful candidate will be one of the founding members of a rapidly growing AI team, helping shape its culture, research priorities, and long-term vision.

Position Overview

The Machine Learning Engineer will focus on developing research advances in Generative AI and domain-specific AI models that enhance automation, human-computer interaction, and model safety in networking contexts. The role will involve building foundational representations relevant to network intelligence, ensuring that AI systems deliver differentiated value across diverse use cases.

The position combines academic-level research rigor with industry-driven innovation, requiring collaboration with engineers, product managers, and strategists. The successful candidate will also contribute to the global research community through publications, technical presentations, and participation in academic workshops.

Key Responsibilities

• Conduct cutting-edge research in Generative AI, LLMs, and network-specific AI applications.
• Design and implement scalable machine learning solutions for automation, network optimization, and intelligent systems.
• Build and fine-tune foundational models, including multi-modal and domain-specific architectures.
• Collaborate with cross-functional teams to apply research outcomes to real-world products and infrastructure.
• Maintain awareness of global advances in AI, publishing findings in top-tier venues and contributing to Ciscos research leadership.
• Present results at internal and external conferences, organize technical workshops, and mentor emerging researchers.

Minimum Qualifications

• PhD in Computer Science or a closely related technical discipline, with research or industrial experience in machine learning or AI; or a Masters degree plus significant experience in pre-training and post-training large language models.
• A minimum of three publications in leading AI conferences such as ACL, EMNLP, ICLR, ICML, NAACL, or NeurIPS.
• Demonstrated expertise in machine learning model development using frameworks such as TensorFlow , PyTorch , or Hugging Face .
• Strong theoretical understanding of deep learning, representation learning, and generative architectures.
• Proven ability to drive independent research projects and collaborate effectively in interdisciplinary teams.

Preferred Qualifications

• Experience leading or contributing to research projects in academic or industrial laboratories.
• Strong interest in combining representation learning with problem-specific constraints in applied domains.
• Experience in building or fine-tuning foundation models , including multi-modal or LLM architectures.
• Familiarity with neural network optimization , model evaluation , and scalable deployment .
• Exceptional communication and relationship-building skills conducive to cross-team collaboration.
• Previous experience working in an industrial research environment (internship or full-time).

Compensation and Benefits

The projected compensation range for this role in the United States is USD 160,100 207,900 , depending on location, skills, and experience. In addition to base salary, eligible employees may receive annual bonuses and participate in Ciscos comprehensive benefits program , including:

• Medical, dental, and vision insurance
• 401(k) plan with company matching
• Paid parental leave and generous time-off programs
• Up to twelve paid holidays annually, plus flexible vacation time
• Ten days of paid volunteer leave per year to support community initiatives

Cisco provides a flexible, inclusive workplace culture where innovation thrives and individual contributions are celebrated.

Why Cisco?

Cisco believes that technology has the power to drive social good. Its innovations help connect hospitals with patients, schools with students, and communities with opportunity. The companys purpose to power an inclusive future for all is reflected in its daily work, diverse teams, and global community impact.

Employees are encouraged to bring their authentic selves to work. Ciscos 30 inclusive communities foster belonging and connection across shared passions and experiences. Diversity, equity, and inclusion are core to its success, ensuring that every voice contributes to the future of technology.

Application Information

Applications are open until further notice and can be submitted through the Cisco Careers portal . Candidates are encouraged to apply early to ensure full consideration.

Cisco is an Equal Opportunity Employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other protected basis.

Disclaimer: Global South Opportunities (GSO) is not the hiring organization. For any inquiries, please contact hiring organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.

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