Posted:4 weeks ago|
Platform:
Hybrid
Full Time
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 role demands a strong research background and deep expertise in AI
foundation models and ability to develop for creating transformational change.
• 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.
• Masters 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.
• 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.
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