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Machine Learning Software Intern contributing to predictive and prescriptive analytics for industrial energy operations. Responsibilities include developing and validating machine learning algorithms, improving alert relevance, analyzing temporal patterns, integrating solutions with monitoring platforms, evaluating performance metrics, collaborating with domain experts, and documenting work. The role requires Python and machine learning library experience, with preferred exposure to industrial sensor data, anomaly detection, statistical analysis, cloud environments, Git, Confluence, and Jira.
Job Description SummaryAddressing 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 founder’s 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 you’ll 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.Job Description
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.
Innovation
Are you passionate about innovation? Are you excited at the opportunity to electrify and decarbonize the world?
We operate with a founder’s 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 you’ll 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.Job Description
What you’ll 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 you’ll 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).
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
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.
GE Vernova Bellevue, Washington, USA Office
Bellevue, United States, 0
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
