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About the Role

As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. We are looking for researchers who will help translate frontier research into practical systems by designing experiments, developing new methods, and turning research insights into impactful, scalable AI solutions. We place a strong emphasis on publishing research and contributing meaningfully to the AI community. In this role, you will write scientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community!

Responsibilities

• Develop scalable data curation and processing methods that improve model training and task-specific performance.
• Build production-ready AI systems using strong software engineering practices.
• Optimize large language models and agentic systems for enterprise and security-focused use cases.

Requirements

• Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries
• Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization
• Strong understanding of data pipelines, model experimentation, and scalable AI system design
• Strong communication skills, with the ability to explain complex research and engineering concepts to cross-functional partners
• Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment
• Experience deploying high-performance inference engines such as vLLM, NVIDIA Triton, or TorchServe, and working with cloud-native deployment, Docker, Kubernetes, MLOps pipelines, and major cloud platforms such as AWS, GCP, or Azure
• Demonstrated history of publishing research in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, or ACL, or contributing to significant open-source AI projects
• Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems
• Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning

Skills

• Python
• PyTorch
• production-grade software engineering practices
• AI/ML libraries
• large language models
• model training
• fine-tuning
• evaluation
• inference
• optimization
• data pipelines
• model experimentation
• scalable AI system design
• communication skills
• vLLM
• NVIDIA Triton
• TorchServe
• cloud-native deployment
• Docker
• Kubernetes
• MLOps pipelines
• AWS
• GCP
• Azure
• agentic AI workflows
• multi-agent frameworks
• autonomous AI systems
• cybersecurity principles
• AI systems for security-focused use cases
• safety
• robust machine learning

Location

• U.S.
• Canada

Work Type

• Full-time

Experience Level

• Bachelors + 7 years
• Masters + 4 years
• PhD + 1 year

Education Level

• Bachelors
• Masters
• PhD

Salary/Compensations

• $184,000.00 - $274,600.00 (New York City Metro Area)
• $168,000.00 - $244,300.00 (Non-Metro New York state & Washington state)

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with Cisco matching contribution
• Paid parental leave
• Short-term disability coverage
• Long-term disability coverage
• Basic life insurance
• Restricted stock units
• 10 paid holidays per full calendar year
• 1 floating holiday for non-exempt employees
• 1 paid day off for employee’s birthday
• Paid year-end holiday shutdown
• 4 paid days off for personal wellness
• 16 days of paid vacation time per full calendar year (non-exempt employees)
• Flexible vacation time off program (exempt employees)
• 80 hours of sick time off provided on hire date and each January 1st thereafter
• Up to 80 hours of unused sick time carried forward
• Additional paid time away for critical or emergency issues for family members
• Optional 10 paid days per full calendar year to volunteer
• Annual bonuses (non-sales roles)
• Performance-based incentive pay (sales roles)

About the Company

• At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of AI. We translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale.
• We explore new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. Together, we are advancing AI at Cisco and for the broader AI community!
• At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
• Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
• We are Cisco, and our power starts with you.

Equal Opportunity

• Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.
• For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.