RTX Corporation is seeking to research and develop solutions for large language models (LLMs), focusing on areas such as reasoning capabilities, post-training techniques, and detection/mitigation of vulnerabilities like hallucinations, to address high-impact real-world problems in the aerospace, manufacturing, and defense industries.
Requirements
- 1+ years of Ph.D.-level research experience in areas such as large language models, reasoning, post-training/fine-tuning techniques, or robustness/vulnerability detection.
- 1+ years of machine learning software development experience in Python, with familiarity in deep learning frameworks such as PyTorch or TensorFlow.
- Publication record in top AI/ML venues such as NeurIPS, ICML, ICLR, ACL, or AAAI.
- Demonstrated ability to set research direction, work independently, and contribute to collaborative team efforts.
Responsibilities
- Develop methods and algorithms to evaluate and improve LLM reasoning capabilities, post-training techniques (e.g., reinforcement learning, instruction tuning
- Design and run experiments on GPU cluster, and benchmark performance against established baselines.
- Explore approaches for agentic AI, including LLM agents that can plan, reason, and interact with tools and environments in a safe and reliable manner.
- Detect and mitigate vulnerabilities such as hallucinations.
- Communicate research findings through presentations, technical reports, and contributions to top-tier publications.
- Collaborate with a focused team on topics including safe and reliable LLM deployment, vulnerability detection, and LLM agents, gaining exposure to cutting-edge Generative AI applications
Other
- Currently pursuing a Ph.D. in Computer Science, Mathematics, or a related Engineering discipline. Candidates must not graduate prior to December 2025. Please submit a copy of your academic transcripts with your application.
- This job requires a U.S. Person.
- Remote
- This position is remote.
- The salary range for this role is 37,000 USD - 82,000 USD.
