AI Research Intern

Schneider Electric • Andover, MA

33d • $30 - $48

About The Position

Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu.be/dux6kG13QWM Great people make Schneider Electric a great company. Based in Andover, MA, the AI Research team's mission is to create and develop innovative and impactful industrial AI solutions by leveraging the cutting-edge AI technologies. The team consists of a diverse group of technical experts and professionals with strong backgrounds in various areas of AI/ML and extensive experiences in a variety of industries. The team collaborates 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.

Requirements

• 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

Nice To Haves

• 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).

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

What This Job Offers

• Career Level: Intern
• Industry: Electrical Equipment, Appliance, and Component Manufacturing
• Number of Employees: 5,001-10,000 employees