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# Scientist - Artificial Intelligence

- **Company:** GE Vernova Operations LLC
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $113,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Github, Graph Database, Python (Programming Language), Machine Learning, OpenAI, Tensorflow, Systems Integration, Pytorch, Large Language Models, Information Technology
- **Published:** October 15, 2026
- **Apply:** https://jobs.military.com/career/366011/senior-scientist-artificial-intelligence-new-york-ny-niskayuna

## About the Role

* PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields and a minimum of 5 years of work experience with a focus on Artificial Intelligence
OR
MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields with a minimum of 8 years of work experience with a focus on Artificial Intelligence\n

 * Demonstrated ability to write Python code and hands-on development of AI solutions\n
 * Demonstrated ability to lead AI projects\n
 * Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.\n
 * Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters' level for employment visas for this job opening.\n
 * Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. Please note that citizens of these countries who have either "U.S. person" status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered.\n
 * Must be willing to work out of an office located in Niskayuna, NY or in Cambridge, MA\n, * Experience in one or more of: (a) Multi-Modal Foundation Models with image, text, tabular data, and/or time-series data, (b) Integrating generative AI with knowledge graphs and graph-based reasoning, and (c) Integrating physics and domain knowledge in scalable machine learning solutions.\n
 * Strong communication skills to engage with stakeholders to define problems worth solving and to share progress and outcomes\n
 * Experience in leading research efforts and collaborating with researchers.\n
 * 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, and DARPA\n
 * Contribution to public domain codebases and/or significant GitHub portfolio\n