AI Research Scientist
Insight Global
Job Description
Insight Global is seeking a Research Scientist (Artificial Intelligence) for a top energy technology client. This candidate will join a cutting-edge AI research organization focused on accelerating the global energy transition through advanced machine learning, generative AI, foundation models, and scientific AI research. The ideal candidate will work across the full innovation lifecycle, from fundamental research and experimentation to prototype development and real-world deployment. Projects span power generation, renewable energy, electric grid modernization, robotics, manufacturing, and other high-impact industrial applications. This is an exceptional opportunity for a researcher who enjoys publishing, creating intellectual property, collaborating with government and academic partners, and developing next-generation AI technologies that directly contribute to a more sustainable and decarbonized future.
Day-to-Day:
Research and develop innovative AI solutions for complex industrial and energy-sector challenges
Design and build machine learning, deep learning, generative AI, and foundation model solutions
Collaborate with multidisciplinary research teams across engineering and scientific domains
Develop prototypes to demonstrate AI value for real-world applications
Create scalable, reusable, and efficient software solutions
Contribute to intellectual property through patent filings and invention disclosures
Publish research findings in journals and conferences
Support and contribute to grant proposal development
Partner with internal business units, government agencies, universities, and external research organizations
Advance AI capabilities across power generation, renewable energy, electric grids, robotics, and manufacturing applications
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or a related field with a focus on AI
OR
MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related field
Minimum 2+ years of AI-focused professional experience
Strong Python programming skills
Experience with AI/ML/GenAI frameworks such as:
PyTorch
TensorFlow
Hugging Face
Deep expertise in at least one of the following:
Training domain-specific Large Language Models (LLMs)
Developing time-series or multimodal foundation models
Building and leveraging knowledge graphs for reasoning and memory
Integrating physics into scientific machine learning models
Authorized to work in the United States PhD focused on advancing Artificial Intelligence technologies
Experience training multimodal foundation models utilizing image, text, and tabular data
Experience integrating physics into machine learning models
Experience integrating LLMs with knowledge graphs
Grant proposal writing and execution experience
Experience collaborating with government agencies such as:
DOE
ARPA-E
DOD
DARPA
Published research in scientific journals and conferences
Patent development and invention disclosure experience
Significant GitHub portfolio or contributions to open-source codebases
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