Lead Research Engineer - AI/ML

Job Description SummaryGE 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 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.

We are seeking a highly motivated and experienced Lead Researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Lead Research Engineer, you will lead and drive cutting-edge projects that leverage AIML and computer vision techniques for the development of state-of-the-art visual inspection, anomaly detection, prognostics, diagnostics, and modelling solutions.Job Description

Roles and responsibilities

• Develop and implement algorithms and methodologies in artificial intelligence, machine learning (AIML), and computer vision to support process and product innovation.
• Analyze extensive datasets to identify complex patterns, trends, and insights, with an emphasis on computer vision-based diagnostics, visual inspection, and prognostics for energy equipment.
• Design and optimize AIML and computer vision algorithms and models, including convolutional neural networks and generative models, to ensure strong performance and scalability.
• 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.
• Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.
• Stay current with advancements in AIML, computer vision, control systems, and signal processing engineering.
• Contribute to research initiatives to conceptualize and develop AI and computer vision solutions for industrial challenges, including image-based defect detection, object recognition, and visual analytics.
• Support junior team members and contribute to project execution, ensuring alignment with strategic objectives.
• Demonstrate the impact of AI through prototypes and solutions that address real-world problems.
• Utilize best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.
• Contribute to intellectual property development by authoring invention disclosures and supporting patent filings.
• Publish research in scientific journals and present findings at conferences.
  
  

Required Qualifications:

• PhD with 5+ years relevant experience or Masters with 7+ years relevant experience from a reputed institution.
• Strong understanding and experience in machine learning, artificial intelligence, computer vision, and related fields, with expertise in image processing, object detection, segmentation, and deep learning architectures (e.g., CNNs, Vision Transformers).
• Demonstrated ability to apply advanced AIML and computer vision concepts to practical applications, including industrial visual inspection, image classification, and object detection.
• Proficiency in programming languages and frameworks commonly used in AIML and computer vision applications, such as Python, TensorFlow, PyTorch, OpenCV, and related libraries.
• Experience in data analysis and manipulation using tools like pandas, NumPy, and familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.
• Strong problem-solving skills and ability to think critically and creatively.
• Excellent communication skills and ability to work effectively in a collaborative team environment.
• Ability to build prototypes and develop proof-of-concepts to illustrate solution feasibility.

Additional Information

Relocation Assistance Provided: Yes