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 at large. We 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. Your role 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 at scale. The 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. Your responsibilities 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 Required Qualifications 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/finetuning 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 Preferred Skills 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 What We Offer 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 candidates located within the United States. Schneider Electric is there when it matters most to you. 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 candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job‑related skills, experience, and relevant education or training. 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. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter. 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. #J-18808-Ljbffr Schneider Electric