This Role DOES NOT SUPPORT: C2C OR Sponsorship | In-Office 5 Days a Week (Palo Alto) Our company is an industry leader in designing, developing, and supplying a wide range of semiconductor and infrastructure software solutions. Our influence in the creation of cutting-edge semiconductors, networking, wireless, and broadband technologies are integral to many industries, including telecommunications, enterprise, consumer electronics, data centers, and cloud computing. Currently, we are looking to bring on a Staff Data Scientist/Machine Learning Engineer who could contribute to a wide range of project scope & responsibilities for our AI/ML driven projects. In this role you will be working on network management & monitoring using ML models, leveraging LLMs to enhance network data insights, acting as a key liaison for chatbot integrations and taking ownership of AI-driven solutions. This role will take having a strong drive and ownership in defining AI-driven strategies, because you will be the founding hire for this team and setting direction for AI/ML efforts. With that you will be partnering with other development teams to push models into production. Required Skills & Experience Exp. in GCP, Google Cloud Ecosystem, SaaS solutions running on Google for cloud & AI platforms Exp. in Gemini, Vertex AI, Open-source AI tools for machine learning & GenAI Exp. in Java (preferred), Python, Microservices for programming & architecture Exp. in R or MATLAB for statistical & scientific computing Exp. working with LLMs specifically fine-tuning, developing RAG systems, and NLP projects Exp. working on Knowledge Graphs & Network Problem Solving Exp. building and deploying ML models Benefits & Perks You will receive the following benefits: Health, Vision, Dental insurance, health savings account (HAS), employee assistance program 401(k) with company match, generous stock options (RSUs), flexible spending account (FSA) Paid time off, paid holidays, sick days, parental leave Life insurance, disability insurance, accidental death and dismemberment insurance Applicants must be currently authorized to work in the US on a full-time basis now and in the future.