About the role#
As a Machine Learning Software Intern with the advanced analytics team, you will contribute to predictive and prescriptive analytics projects. You will help improve the operational efficiency of energy plants by refining how software alerts function and how equipment is monitored.
What you'll do#
- Design, implement, and validate algorithms to improve alert relevance.
- Work with domain experts to verify detected patterns and ensure they match real-world operations.
- Integrate your code into existing equipment monitoring platforms.
- Evaluate algorithm performance using metrics like false alarm reduction rates and detection accuracy.
- Document your work to ensure reproducibility and knowledge sharing across the team.
What you'll need#
- Enrollment in a Bachelors, Masters, or PhD program in Computer Science, Data Science, Computer Engineering, or a related field.
- Foundational knowledge in time-series analysis, temporal pattern recognition, or similar ML techniques.
- Experience using Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
- Ability to read technical documentation and work within a collaborative software development team.
- Familiarity with Git, Jupyter, cloud-based environments, and tools like Jira or Confluence is helpful.
- Experience with industrial sensor data, anomaly detection, or statistical clustering is a plus.
Location & details#
- Location: Bellevue, Washington.
- Term: Summer 2027.
- Status: Full-time, paid internship.
- Note: Sponsorship is not available for this role. You must be legally authorized to work in the United States.
About GE
GE is a public company founded in 1892. It operates in the industrial machinery manufacturing sector. The business maintains a presence in fields such as aviation, energy, power, and healthcare. Its headquarters are located in Boston, Massachusetts, and the firm employs over 10,000 people.
How to get in at GE
Applying to GE early provides a distinct advantage, as recruiters often review the first batch of candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you stay at the front of the line. You can use these notifications to ensure your application is submitted before the pile grows. Reaching out to the people behind the roles often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind GE roles so you can contact them directly to ask about the position or a referral. This direct approach materially improves your response rates compared to standard online submissions.
