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Salary
≈ $8k – $16k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 15, 2026. GE Vernova scores B on the Alion truth index.

Overview
Company
Impact
Profile match
GE Vernova is an American energy company created in April 2024 when General Electric split into three, taking the power, wind and electrification businesses. It builds and services gas turbines that generate a substantial share of the world's electricity, onshore and offshore wind turbines, grid equipment including transformers and high-voltage transmission, and nuclear technology through GE Hitachi and its BWRX-300 small modular reactor. Headquartered in Cambridge, Massachusetts, the company sits at the centre of two simultaneous demand shocks: the electrification of transport and industry, and the electricity requirements of large-scale artificial intelligence data centres.

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

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