Hiring: Principal Data Scientist, TPG Company: Micron Technology Location: Folsom, CA Job Posted Time: 2026-09-16 12:59:31 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Applied AI, Agentic AI, LLMs, RAG, PyTorch, TensorFlow, scikit-learn, XGBoost, Python, Cloud (AWS/GCP/Azure), Kubernetes, Docker, MLOps, Data Science, Semiconductor Experience: - 8 years of relevant experience, or equivalent practical experience. - Led complex AI, ML, data science, or software engineering programs as technical lead, directing the work of other engineers. - Hands-on machine learning and statistical modeling: supervised learning, feature engineering, validation, performance evaluation, and reading model behavior. - Shipped models into production — inference pipelines, APIs, CI/CD, monitoring. Required Skills: - Python fluency with PyTorch, TensorFlow, scikit-learn, or XGBoost. - Strong software engineering, cloud deployment, and agentic AI skills. - Ability to set architecture and technical direction for applied AI, ML, and agentic AI work. - Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring. - Build models for prediction, diagnosis, optimization, and decision support for semiconductor applications. - Ship agentic AI for engineering analysis, knowledge retrieval, workflow automation, and decision support, including guardrails and evaluations. - Break wide-open challenges into roadmaps, turning points, and success criteria; report progress, risk, and model limits plainly to engineers and executives. Qualifications: - Bachelor's degree in Computer Science, Data Science, Electrical/Computer Engineering, Statistics, Mathematics, Physics, or a related technical field. - Preferred: Master's degree or PhD in Computer Science or a related technical field, or equivalent experience. - Preferred: People leadership — mentoring engineers, developing careers, and forming team capability. - Preferred: Experience in semiconductors, memory, storage, electronics, hardware systems, or advanced manufacturing. - Preferred: AI/ML deployed in cloud, hybrid, or on-prem environments — AWS, GCP, Azure, Kubernetes, OpenShift, or Docker. - Preferred: LLMs, RAG, and agentic workflows — agent frameworks, model gateways, knowledge graphs, enterprise search, MCP tool integration, or workflow orchestration. Compensation: $145,000.00 - $360,000.00 a year. Additional compensation may include benefits, bonuses, and equity. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!