INTERNSHIP DETAILS

GE Vernova - Research Intern

CompanyGE Vernova
LocationBengaluru
Work ModeOn Site
PostedJune 10, 2026
Internship Information
Core Responsibilities
The intern will design and develop AI/ML algorithms and experiments focusing on time series analysis and machine vision. They will also conduct literature reviews and document research findings in technical reports and presentations.
Internship Type
full time
Company Size
69285
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.
About the Role

Job Description Summary

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. 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 talented individual to join our team as an Advanced Research Intern in the field of Aritificial Intelligence. This internship offers an exciting opportunity to work on cutting-edge research projects, collaborate with experienced researchers, and contribute to the advancement of knowledge in Machine learning theory and applications.

Job Description

Roles and Responsibilities

  • Assist in designing and developing research experiments to address key challenges in time series analysis, machine vision, and deep learning applications.
  • Develop novel AI/ML algorithms and implement them in Python, PyTorch, TensorFlow, or similar environments.
  • Build and evaluate machine learning and deep learning models for the analysis of time series data and visual data; conduct experiments to validate algorithm performance across various datasets and scenarios.
  • Analyze experimental results to validate theoretical assumptions, assess model accuracy, and derive actionable insights for further refinement.
  • Conduct comprehensive literature reviews to stay abreast of state-of-the-art techniques in time series forecasting, computer vision, and deep learning architectures.
  • Document research methodologies, experimental setup, results, and findings in technical reports, papers, and presentations for both internal and external dissemination.

Required Qualifications

  • Currently enrolled in a Master’s or Ph.D. program in Computer Science, Electrical/Electronics Engineering, Applied Mathematics, Data Science, or a related field, with a focus on AI, Machine Learning, or Data Analytics.
  • Experience developing in Python and familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Keras.
  • Proficiency in building and evaluating statistical, machine learning, and deep learning models for time series and/or image data.
  • Experience with data processing, feature engineering, and data visualization tools and libraries (e.g., NumPy, pandas, matplotlib, OpenCV).
  • Excellent analytical and problem-solving skills, with the ability to critically evaluate research findings and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

Additional Information

Relocation Assistance Provided: Yes

Key Skills
PythonPyTorchTensorFlowKerasMachine LearningDeep LearningTime Series AnalysisComputer VisionData ProcessingFeature EngineeringData VisualizationNumPyPandasMatplotlibOpenCVStatistical Modeling
Categories
Science & ResearchTechnologyData & AnalyticsEngineeringEnergy
Benefits
Relocation Assistance