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AI Researcher, Large Language Models and Agentic AI

Advance Cisco’s AI research across scalable models, agentic systems, and production infrastructure. Publish research and improve enterprise and security-focused AI applications.

USStatele Unite ale AmericiiCACalifornia
184.000 $ – 274.600 $ / an
HibridNormă întreagăJuniorLimbă Obligatorie: englezăCercetător științific în domeniul IAInginer de învățare automată
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchSecuritate cibernetică

Descriere

  • Research, develop, and deploy advanced artificial intelligence systems
  • Apply large language models, agentic AI, multimodal learning, and enterprise-scale AI applications
  • Design experiments that turn frontier research into practical, scalable AI solutions
  • Improve training algorithms while curating and optimizing data at scale
  • Create dependable infrastructure for purpose-built models supporting Cisco priorities and Foundation AI research
  • Build scalable data curation and processing approaches that enhance training and task-specific performance
  • Develop production-ready AI systems using rigorous software engineering practices
  • Optimize language models and agentic systems for enterprise and security applications
  • Prepare scientific papers for leading machine learning and AI conferences
  • Write technical blog content and contribute to the open-source AI community

Cerințe

  • Bachelor’s degree with 7 years of related experience, master’s degree with 4 years, or PhD with 1 year in computer science, artificial intelligence, machine learning, or a related discipline
  • Strong proficiency in Python, PyTorch, production software engineering, and widely used AI/ML libraries
  • Experience training, fine-tuning, evaluating, serving, and optimizing large language models
  • Solid knowledge of data pipelines, model experimentation, and scalable AI architecture
  • Clear communication skills and the ability to explain complex research and engineering ideas to cross-functional collaborators
  • Preferred: experience building scalable data curation methods and dependable infrastructure for large-scale model training, evaluation, inference, and deployment
  • Preferred: experience with vLLM, NVIDIA Triton, TorchServe, cloud-native deployment, Docker, Kubernetes, MLOps, AWS, Google Cloud, or Azure
  • Preferred: publications at leading AI/ML conferences such as NeurIPS, ICML, ICLR, or ACL, or substantial open-source AI contributions
  • Preferred: knowledge of agentic AI workflows, multi-agent frameworks, and autonomous AI systems
  • Preferred: understanding of cybersecurity, security-oriented AI, safety, and robust machine learning

Beneficii

  • Medical, dental, and vision insurance
  • 401(k) plan with Cisco matching contributions
  • Paid parental leave
  • Short- and long-term disability coverage
  • Basic life insurance
  • Eligible employees may receive Cisco restricted stock unit grants, subject to continued employment
  • Ten paid holidays per full calendar year, plus one floating holiday for non-exempt employees
  • Paid birthday day off
  • Paid year-end holiday shutdown
  • Four paid personal wellness days
  • Sixteen paid vacation days per full calendar year for non-exempt employees
  • Flexible vacation time off with no defined limit for eligible exempt employees
  • Eighty hours of sick time provided upon hire and each January 1
  • Annual carryover of up to 80 unused sick hours
  • Additional paid leave for critical or emergency family circumstances
  • Optional ten paid volunteer days per full calendar year
  • Annual bonuses for eligible non-sales roles, subject to Cisco policies
  • Performance-based incentive pay for employees on sales plans
  • Hybrid work arrangement

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