Fall 2026, Intern/Coop: Machine Learning Researcher
About The Position
The Artificial Intelligence team researches and develops machine learning, computer vision, reinforcement learning, large language models and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include autonomy, multi-agent coordination, cybersecurity, material discovery and design. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience. We are looking for fall interns/coops to support research on large language models, with primary emphasis on agentic AI, reasoning models and verification/evaluation frameworks for LLMs and agentic systems.
Requirements
- Currently pursuing an MS/Ph.D. in Computer Science, Mathematics, or a related Engineering discipline.
- Candidates must work a minimum of 6 months in co-op role.
- Please submit a copy of your academic transcripts with your application.
- 1+ years of MS/Ph.D.-level research experience in areas such as large language models, reasoning, post-training/fine-tuning techniques, robustness/vulnerability detection, formal verification
- 1+ years of machine learning software development experience in Python, with familiarity in deep learning frameworks such as PyTorch or TensorFlow.
Nice To Haves
- Publication record in top AI/ML venues such as NeurIPS, ICML, ICLR, ACL, or similar.
- Demonstrated ability to set research direction, work independently, and contribute to collaborative team efforts.
Responsibilities
- Develop methods and algorithms to evaluate, verify, and improve the reasoning, planning, and decision making of large language models and LLM-based agents.
- 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 and jailbreaks.
- 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
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays
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What This Job Offers
Career Level
Intern
