We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation.
This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change.
oriented:
- Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these.
- Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research.
- Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems.
- Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab.
- Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas.
- Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events.
- Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach.
We don’t need superheroes, just super minds:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML.
- 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions.
- Publications in top-tier AI conferences and journals
- Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc.
- Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters.
- Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts.
- Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders.
Desired skills
- Contributions to open-source machine learning projects.
- Prior experience in a top AI research lab.
- Experience applying AI/ML to power systems, electrical grids, or related domains.