AI/ML Research Engineer — Safe & Generative AI Focus

Penn State University; State College (Centre County); On-site; USD 120,000 - 180,000; Full time

Job summary

Penn State University in State College, PA seeks a highly motivated researcher to join the Applied Research Laboratory's Comprehensive Software Solutions Department. You will lead AI/ML research and prototype mission-focused software, collaborating with sponsors and internal teams to translate concepts into deployable capabilities.

This on-site role emphasizes adversarial, safe, and/or agentic AI, with opportunities to publish and contribute to white papers while supporting DoD sponsor programs.

Qualifications

• Bachelor's Degree - Engineering or Science
• 0

Responsibilities

• Conduct advanced research in AI/ML, software engineering, computational systems, or related fields
• Develop novel methods, models, and technologies that address emerging challenges with respect to AI relevant to our sponsor base
• Communicate results through technical reports, publications, and presentations to stakeholders, scientists, and/or software engineers
• Contribute to publications, white papers, technical memos, and/or study plans especially in the field of AI/ML
• Collaborate with interdisciplinary teams to design, prototype, and evaluate mission-focused solutions
• Perform larger tasks individually or as part of a group, and leading tasks

Skills

ML concepts

ML frameworks

Python & libraries

Data preprocessing

Statistics & linear algebra

CNN / RNN / Transformer

GPU training

Version control & software practices

Cross-team communication

Education

Bachelor's Degree - Engineering or Science

14+ years relevant experience

Tools

Docker

Git

Job description

Penn State University in State College, PA seeks a highly motivated researcher to join the Applied Research Laboratory's Comprehensive Software Solutions Department. You will lead AI/ML research and prototype mission-focused software, collaborating with sponsors and internal teams to translate concepts into deployable capabilities.

This on-site role emphasizes adversarial, safe, and/or agentic AI, with opportunities to publish and contribute to white papers while supporting DoD sponsor programs.