GE Vernova Machine Learning Software Intern Summer 2027

Addressing the climate crisis is an urgent global priority and at GE Vernova we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it.

Innovation
Are you passionate about innovation Are you excited at the opportunity to electrify and decarbonize the world

We operate with a founders mindset. We deliver innovation with passion speed and courage. We continuously challenge our thinking and are empowered to dream big and take smart risks.

What impact youll make

As a student of the advanced analytics team Software and Controls Solutions you will be an active contributor to improving energy companies plant efficiency and operation through predictive and prescriptive analytics.

What youll do (Job Responsibilities)

• Contribute to the design implementation and validation of algorithms that improve software alert relevance and operational efficiency.
• Collaborate with domain experts to validate detected patterns and ensure alignment with operational realities.
• Integrate algorithmic solutions with existing equipment monitoring platforms ensuring scalability and robustness.
• Participate in the evaluation of algorithm performance using documented metrics such as false alarm reduction rates and pattern detection accuracy.
• Document all work clearly in accordance with project standards for reproducibility and knowledge sharing.

What youll bring (Basic Qualifications)

• Enrollment in a Bachelors Masters or PhD program in Computer Science Data Science Computer Engineering or related field.
• Foundational knowledge in temporal pattern recognition time-series analysis or related ML techniques
• Experience with Python and ML libraries (e.g. scikit-learn TensorFlow PyTorch).
• Ability to interpret technical documentation and contribute to collaborative software development projects.

What will make you stand out (Desired Qualifications)

• Prior experience with industrial sensor data anomaly detection or event classification.
• Familiarity with statistical analysis and clustering algorithms.
• Familiarity with Jupyter and cloud-based environments.
• Knowledge of version control systems (Git) and collaborative project tools (Confluence Jira).

For candidates applying to a U.S. based position only:

This posting is expected to remain open for at least seven days after it was posted on September 28 2026.

U.S. Internship roles are ineligible for GE Vernova benefits.