AI Research Scientist

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

Our Strategy & Innovation team drives the AI strategy and innovation efforts for the AI Hub, Schneider Digital, and Schneider Electric  are building the next generation of intelligent systems that combine large-scale multimodal models and their post-training to enable system-level reasoning across energy, buildings, industry, and data centers.

We’re looking for a curious, fast-moving applied AI research scientist (Official

Title:

Data Scientist) who loves working on cutting-edge innovation projects and transforming it into prototypes. You will drive the development of multimodal AI systems that power real-world energy and industrial decisions  right candidate will combine strong fundamentals in foundation models with rigorous experimentation, solid engineering habits, and an end-to-end maker mindset - from preparing the data to building the model to crafting demos that make the value visible.

Thrive in a collaborative environment, engage actively with the research community, and enjoy working with product and business teams to translate ideas into real impact.

• Advance state-of-the-art research for core modalities — time series, tabular, text, and graph/topology, visual/3D data
• Rapidly translate state-of-the-art research into prototypes, adapting multimodal and transformer-based architectures to Schneider-specific datasets
• Build robust, reproducible ML pipelines, covering data preparation, experiment tracking, baselines, ablations
• Lead the creation and preparation of multimodal datasets, transforming raw data (such as time-series signals, structured tables, documents, diagrams, and system relationships) into clean, usable training datasets
• Collaborate with domain experts and product teams to align modeling choices with physical constraints and convert prototypes into clear, impactful demonstrations

• PhD in Machine Learning, Artificial Intelligence, NLP, Robotics, or a related field, with strong foundations in transformers and modern representation learning. Candidates with a Master’s degree and a track record of outstanding research or applied impact are also encouraged to apply.
• Demonstrated experience in foundation models and post-training
• Strong hands-on experience with PyTorch, custom model architectures, and efficient training/fine tuning methods
• Ability to design clean, rigorous experiments (baselines, ablations, evaluation protocols) and communicate findings clearly
• Solid engineering discipline:
  Git, PRs, code reviews, reproducibility, experiment tracking, and collaborative development practices

• Interest or familiarity with engineering, energy, or physical systems — curiosity about real-world technical domains is a strong plus
• Exposure to simulation-based learning, physics-aware models, or neuro-symbolic approaches
• Comfortable moving between research and applied prototyping, turning ideas into working demos
• Contributions to open-source projects, workshops, or scientific publications

• The opportunity to shape the next generation of multimodal AI systems for energy, industry and sustainability
• Access to rich, real-domain multimodal datasets, rarely available in academic or tech environments
• A role at the intersection of AI research, physical systems understanding and sustainability, working on problems with real impact
• A fast moving, collaborative, and deeply technical team, embedded within Schneider Electric’s global AI strategy and innovation ecosystem
• For this U.S. based position, the expected pay range is USD 117,600 - USD 176,400 per year. This pay range includes base pay and short-term incentives. The compensation range for this full‑time position applies to…