Scientist Jobs

About The Position

Requirements

• Bachelor's degree plus 5 years of related experience, or master's degree plus 3 years of related experience, or Ph.D. plus 0 years 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 and ability to explain complex research and engineering concepts to cross-functional partners.

Nice To Haves

• 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.

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.
• Research, develop, and deploy advanced AI systems across large language models, agentic AI, multimodal learning, and enterprise-scale applications.
• Design experiments and develop methods that translate research insights into scalable AI solutions.
• Improve training algorithms, curate and optimize data at scale, and design infrastructure for training purpose-built models.
• Write scientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community.

Benefits

• Medical, dental, and vision insurance
• 401(k) plan with Cisco matching contribution
• Paid parental leave
• Short- and long-term disability coverage
• Basic life insurance
• Cisco restricted stock unit grants may be available, subject to eligibility and vesting conditions
• 10 paid holidays per full calendar year
• Floating holiday for non-exempt employees
• Paid day off for employee's birthday
• Paid year-end holiday shutdown
• Four paid days off for personal wellness
• Paid vacation or flexible vacation time off, depending on employee classification
• 80 hours of sick time off provided on hire date and each January 1 thereafter, with up to 80 unused hours carried forward
• Additional paid time away may be requested for critical or emergency family issues
• Optional 10 paid volunteer days per full calendar year
• Annual bonuses for eligible non-sales employees