Staff Data Scientist / Machine Learning Engineer

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.

Posted By: Connor Hart