Schneider Electric · 2 months ago
AI Research Intern
Schneider Electric creates connected technologies that reshape industries and enrich lives. They are seeking a passionate AI Research summer intern to join their AI research team, focusing on developing innovative industrial AI solutions and applying data science and machine learning methodologies to solve business problems.
ElectronicsEnergyEnergy ManagementInformation TechnologyRenewable Energy
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
Qualification
Required
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
Preferred
Basic knowledge of AWS, Microsoft Azure, or other cloud platforms is a plus
Knowledge of Git/GitHub is a plus
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)
Benefits
Eligible for overtime pay
Recognition programs
Company
Schneider Electric
Schneider Electric specializes in the digital transformation of energy management and automation.
H1B Sponsorship
Schneider Electric has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (150)
2024 (103)
2023 (108)
2022 (98)
2021 (115)
2020 (109)
Funding
Current Stage
Public CompanyTotal Funding
$4.08BKey Investors
California State Water Resources Control BoardIdinvest Partners
2025-08-26Post Ipo Debt· $4.08B
2018-04-05Grant· $1.6M
2004-12-03Series Unknown
Leadership Team
Recent News
2026-01-08
Company data provided by crunchbase