Job Description Summary

Job Description

Join our Gas Power Controls team as an Applied AI & Controls Transformation Intern spearheading the integration of cutting-edge Artificial Intelligence GenAI Machine Learning and automation into our design and customer fulfillment processes. This role offers a unique opportunity to directly impact operational efficiency product quality and new hire training. You will conceptualize scalable control system solutions acting as a vital bridge between GE Vernovas Advanced Research Center (ARC) and our engineering teams. Drive the accelerated adoption of AI/ML influencing strategic technology roadmaps and translating innovative research into tangible high-value industrial applications that shape the future of gas power generation.

Project Outcomes:

As a Summer AI/Automation Intern you will:
- Conceptualize design and contribute to the governance of AI-driven control system solutions aimed at enhancing performance reliability efficiency safety and decarbonization efforts.
- Evaluate and ensure that proposed solutions are scalable secure and interoperable with existing Gas Power Controls infrastructure.
- Act as a key liaison with GE Vernovas Advanced Research Center (ARC) facilitating the transfer of emerging AI/ML technologies from research into production-ready industrial control applications.
- Assist in guiding pilot projects and proofs-of-concept translating research outputs into tangible business outcomes for control applications.
- Help build a robust technology pipeline bringing cutting-edge innovations from research into field deployments.
- Identify and evaluate opportunities for deploying AI/ML solutions across engineering functions including predictive maintenance anomaly detection intelligent control tuning and automatic control code generation.
- Contribute to the AI strategy development for Gas Power Controls.
- Collaborate cross-functionally with mechanical electrical process and instrumentation engineers to develop holistic control solutions.
- Engage with the Strategic Technology and Adaptive Intelligence (STAI) team to align and influence technology development for broader business impact.
- Actively contribute to a culture of innovation and continuous improvement within the team researching and proposing novel approaches.

Your contributions will directly lead to:
- Reduced Engineering Hours: Identifying and implementing automation solutions that streamline design and fulfillment processes.
- Improved Product Quality: Enhancing the reliability and performance of control system solutions through repeatable automated steps using un/structured data.
- Streamlined Training Processes: Developing automated tools and intelligent systems to accelerate the onboarding and skill development of new hires.
- Accelerated Technology Adoption: Bridging the gap between cutting-edge research and industrial application successfully piloting new AI/ML solutions.
- Enhanced Operational Performance: Contributing to control solutions that improve the efficiency safety and decarbonization capabilities of gas turbines.
- Robust Technology Pipeline: Establishing clearer pathways for advanced research to transition into practical high-value field deployments.

Primary Skills Developed:

This internship will provide a unique opportunity to develop and hone critical skills including:
- Applied AI/ML and Automation: Practical application of advanced AI GenAI and Machine Learning techniques within industrial control systems.
- Industrial Control System Design & Governance: Understanding the principles of designing implementing and governing scalable and secure control solutions.
- Technology Transfer & Commercialization: Experience in translating academic research into production-ready industrial applications.
- Cross-Functional Collaboration: Working effectively with diverse engineering disciplines and strategic technology teams in a large enterprise environment.
- Strategic Thinking: Contributing to technology roadmaps and identifying high-impact AI/ML opportunities.
- Project Management & Prototyping: Guiding pilot projects developing proofs-of-concept and managing technical initiatives.
- Problem-Solving for Industrial Challenges: Tackling complex real-world issues in power generation controls.
- Professional Communication: Developing strong presentation liaison and technical writing skills.

Basic Qualifications:

- Currently pursuing a Bachelors Masters or Ph.D. degree in Electrical Engineering Computer Engineering Computer Science Mechanical Engineering Data Science or a closely related field.

-Minimum GPA of 4.0/5.0.
- Strong foundational understanding of Artificial Intelligence and Machine Learning concepts (e.g. supervised/unsupervised learning deep learning reinforcement learning).
- Proficiency in at least one modern programming language (Python strongly preferred) and experience with relevant AI/ML libraries (e.g. TensorFlow PyTorch scikit-learn).

Desired Qualifications:

- Familiarity with data analysis manipulation and visualization tools.
- Basic understanding of control systems automation principles or industrial processes.
- Strong analytical critical thinking and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively within a fast-paced team environment.

- Previous experience with Generative AI (GenAI) models Natural Language Processing (NLP) or large language models (LLMs).
- Familiarity with industrial control platforms such as PLCs DCS or SCADA systems.
- Experience with cloud platforms (e.g. AWS Azure GCP) and MLOps principles.
- Prior internship or project experience applying AI/ML in an industrial energy or engineering context.
- Demonstrated ability to translate complex technical concepts into practical high-impact solutions.
- Active participation in research projects publications or open-source contributions related to AI/ML or control systems.
- Knowledge of cybersecurity considerations for industrial systems.
- Understanding of digital twin concepts or simulation environments.

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 order to meet this mission we provide varied competitive benefits to help support our workforce: Our Culture GE Vernova ()

The pay for this position ranges from $25-34/hr. based on years of undergraduate/graduate field of study completed.

This position will be posted until at least Nov 1 2025.

This position is also eligible for:

• Relocation Assistance:Co-op/Interns will be reimbursed for reasonable proper and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
• Housing Allowance:Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Interns permanent residence is at least 50 miles away from the work location.
• Employee Assistance Program providing 24/7 confidential assessment counseling and referral services
• GE Retirement Savings Plan (RSP) after their accumulated service reaches 90 days and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)

General Electric CompanyRopcor Inc. their successors and in some cases their affiliates each sponsor certain employee benefit plans or programs (i.e. is a Sponsor). Each Sponsor reserves the right to terminate amend suspend replace or modify its benefit plans and programs at any time and for any reason in its sole discretion. No individual has a vested right to any benefit under a Sponsors welfare benefit plan or program. This document does not create a contract of employment with any individual.

Inclusion

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