# Senior AI Researcher **Company**: Cisco **Location**: San Jose, California **Experience**: senior **Job type**: full-time **Salary**: $203,000.00 to $258,600.00 **Category**: Research **Industry**: Technology **Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Senior-Machine-Learning-Engineer--AISWP--Hybrid-_2023544?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_0cdff73a-e01 ## Description The Cisco AI Research team is a dynamic group of scientists and engineers dedicated to building the future of proprietary intelligence. Our core mission is to develop purpose-built large language models tailored specifically for Cisco’s networking, security, and observability domains. As a Senior AI Researcher, you will produce research advances in the field of Generative AI that improve the capabilities of models or agents for networking automation, human-computer interaction, model safety, or other strategic gen-AI powered networking areas. You will research building domain-specific foundational representations relevant to networking that provide differentiative value across diverse sets of applications. You will be a thought leader in the global research community via publishing papers, giving technical talks, organizing workshops etc. Responsibilities: - Help build purpose-built large language models to secure and optimize Cisco’s proprietary networking, security, data center, and observability infrastructure. - Drive 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 in computer science + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience. - Experience with LLM pre-training and post-training experience within an industry or academic research lab. - Minimum of 3 publications within top AI Venues such as ACL, EMNLP, ICLR, ICML, NAACL, NeurIPS. - Experience working with Machine Learning Models (MLMs) and familiarity with associated frameworks, such as TensorFlow, PyTorch, Hugging Face, or equivalent platforms. - Prior experience driving research projects within an industry or university research lab (full-time, internship etc.). Preferred qualifications: - Interest in combining representation learning and problem-specific properties. - Experience in building, fine-tuning foundation models including LLMs and multi-modal models or domain-specific models. - Ability to maintain cutting-edge knowledge in generative AI, Large Language Models (LLMs), and multi-modal models and apply these technologies innovatively to emerging business problems, use cases, and scenarios. - Outstanding communication, interpersonal, relationship-building skills conducive to collaboration. Benefits: - Medical, dental, and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year. - 1 paid day off for employee’s birthday. - Paid year-end holiday shutdown. - 4 paid days off for personal wellness. - Non-exempt employees receive 16 days of paid vacation time per full calendar year. - Exempt employees participate in Cisco’s flexible vacation time off program. - 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 from one calendar year to the next. - Optional 10 paid days per full calendar year to volunteer. Salary range: $203,000.00 to $258,600.00 ## Skills ### Required - Large Language Models - Machine Learning Models - TensorFlow - PyTorch - Hugging Face ### Nice to have - representation learning - foundation models - multi-modal models - generative AI --- Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Senior-Machine-Learning-Engineer--AISWP--Hybrid-_2023544?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)