Research Scientist - Machine Learning

About the role

GE Vernova’s Advanced Research business is the central innovation engine for GE’s portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 400+ researchers representing virtually every major scientific and engineering discipline.

What you'll do

• Develop advanced algorithms and methodologies in artificial intelligence, machine learning (AIML), and computer vision to drive process and product innovation
• Analyze extensive datasets to identify patterns, trends, and insights, with an emphasis on computer vision-based diagnostics, visual inspection
• Design and optimize AIML and computer vision algorithms and models, including convolutional neural networks and generative models
• Design and conduct experiments to assess the efficacy and reliability of AIML-based solutions
• Document research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference

What you need

• 5–9 yrs of experience
• Machine learning
• Research
• Computer vision
• Python
• Pandas
• Deep learning
• PhD

Good to have

• TensorFlow
• PyTorch
• NumPy
• Prototyping
• Git
• IPR