AI Research Intern

aborates closely with other teams in AI Hub in technologies, use cases and customer projects.

We're looking for a passionate AI Research summer intern joining our AI research team starting June 2026.

The candidate will join one or more project teams which focus on industrial AI such as renewable energies, digital building management, data center operations, energy storage systems, and industrial process control. The candidate will apply data science and machine learning methodologies, techniques and algorithms to solve business problems that are important to Schneider Electric or our customers.

The position will report to AI Research Director, but will work closely with respective project leads, project team members and other teams within AI Hub.

Responsibilities

• Contribute to one or more research projects as a project team member

• Explore data generated by industrial systems or customers, visualize and model the data, and communicate findings

• Create or synthesize data from internal or public data sources, or generate from models or software, and validate them

• Research and survey industrial reports and technical papers on latest industrial trends, case studies, models and methodologies in the areas of team's research. Summarize and report the findings

• Develop machine learning models and predictive analytics to solve the problems concerned

• Develop, train, test, and deploy machine learning models

• Analyze, compare and interpret the results and outputs from machine learning models

• Learn about new machine learning models, systems and apply them to the problems at hand

• Work closely with AI Research Director, project leads, AI researchers, AI product managers or AI industrial consultants

For this U.S. based position, the expected compensation range is $29.50 - $47.50 per hour. In addition, this position is eligible for overtime pay and recognition programs.

The compensation rate for this position is for candidates located within the United States. Individual pay is determined by several factors including knowledge, job-related skills, experience, and relevant education or training.

You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.

Qualifications

• The candidate must currently enroll in a master or doctoral graduate program in a related discipline such as Mathematics, Statistics, Physics, Engineering, Data Science or CS

• The candidate will need to demonstrate strong mathematical, reasoning and problem-solving skills to be involved in some research based on machine-learning and data modeling

• Deep learning architecture and models such as CNN/RNN/LSTM/Transformer, time series, graph neural networks.

• It is expected that the intern has working knowledge of data science workflows and methodologies, has experience building machine learning models, knows and applies tools such as Python, C++, Java, SQL, Visual Studio Code, Jupyter Notebooks, TensorFlow, PyTorch

• Basic knowledge of AWS, Microsoft Azure, or other cloud platforms is a plus

• Knowledge of Git/GitHub is a plus

• The primary research focus for the role is in control and reinforcement learning. In addition, candidates with experiences in one or more of the following, acquired through a combination of courses, academic projects and/or industrial projects, are strongly preferred:

• Research experience and publications in dynamic systems, control theory and/or reinforcement learning.

• Deep reinforcement learning such as value-based algorithms (DQN...), policy

gradients algorithms (A3C, DDPG, PPO...), model-based RL and various model-free algorithms.

• Academic and/or industrial project experiences in building management, data center operations, energy management or other related industries.

• Exposure to or experiences with scientific AI/ML such as data-driven modeling, digital twins, reduced-order models (ROMs), and physics-informed neural networks (PINNs).

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

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Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.