Roles and Responsibilities
• Collaborate with application engineers to develop AI/ML applications
• Write code that meets standards and delivers desired functionality using the technology selected for the project.
• Build AI/ML models using modern frameworks, such as PyTorch, TensorFlow, and LLMs.
• Utilize data from many different sources to develop data for model training and input.
• Use common methods for feature engineering, evaluating model performance, conducting hyperparameter tuning.
Required Qualifications
• Currently Enrolled in a Master’s or PhD degree program in Computer Science, Electrical Engineering, or equivalent technical field.
• Experience with Artificial Intelligence (AI) and Machine Learning (ML), including large language models (LLM), deep neural networks, graph neural networks, time series forecasting.
• Experience developing ML models (TensorFlow, PyTorch, Scikit-learn)
• Experience in Python programming language
• Advanced statistics, linear algebra
• Minimum cumulative or in-major 3.0/4.0 GPA
• Must commit to working full time (40 hrs/wk) during the internship in summer
Eligibility Requirements:
• Must be willing to work in an office located in Bothell.
• Unrestricted legal authorization to work in the U.S. is required.
Desired Characteristics (Nice to have skills):
• LLMs (Prompt engineering, RAG)
• Data preprocessing for AI/ML
• AI/ML App development in cloud with either AWS or Azure
• Knowledge of power systems, grid operations or similar dynamic system modeling.
Additional InformationGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No