> Markdown version of [/jobs/ext/3896062-research-scientist-artificial-intelligence](https://www.wearedevelopers.com/jobs/ext/3896062-research-scientist-artificial-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Scientist - Artificial Intelligence - **Company:** GE Vernova - **Location:** Schenectady, NY, United States - **Experience:** Experienced - **Salary:** $89,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Github, Graph Database, Python (Programming Language), Machine Learning, Tensorflow, Systems Integration, Pytorch, Large Language Models, Information Technology, HuggingFace, Software Library - **Published:** October 23, 2026 - **Apply:** https://www.nexxt.com/job.asp?id=3466439495&tx=JJ10195LFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence OR * MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a minimum of 2 years of work experience with a focus on Artificial Intelligence * Demonstrated ability to write Python code * Familiarity with AI, ML, and GenAI packages and frameworks like PyTorch, TensorFlow, HuggingFace, and more * Deep expertise in one or more of: (a) Training domain-specific large language models (LLM), (b) Development of time-series or multi-modal foundation models, (c) Building and leveraging knowledge graphs for reasoning and memory, (d) Integrating physics in scientific machine learning models. Eligibility: * Must have work authorization for the US. * Must be willing to work out of an office located in Niskayuna, NY. Desired Characteristics * PhD focused on new advancements in Artificial Intelligence * Experience in one or more of: (a) Training multi-modal foundation models with image, tabular data, and text, (b) Integrating Physics in Machine Learning, and (c) Integrating LLM with knowledge graphs. * Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD/DoW, and DARPA * Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact. ## Description * Research, conceptualize, and develop AI solutions for hard industrial problems. * Collaborate with teams of peer Researchers on new and continuing projects * Demonstrate value of AI through early prototypes and solutions for real-world problems * Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions * Create intellectual property by writing invention disclosures and filing patents * Publish research work to scientific journals and conferences * Writing and/or supporting grant proposals