AI/ML R&D Engineer — Visualization & Anomaly Detection

Penn State University; United States; On-site; USD 146,000 - 319,000; Full time

Benefits offered by this job

75% tuition discount

Robust retirement plans

Paid time off and holidays

On-site facilities and support

Job summary

Penn State University's Applied Research Laboratory is seeking Research and Development Engineers to advance state-of-the-art visualization and decision support for DoD-relevant data challenges. The role focuses on designing ML systems, experimenting with data fusion, and delivering technically rigorous reports from State College, PA or Reston, VA.

You will build high-quality prototypes, collaborate with sponsors, and guide junior staff while contributing to research across multi-domain datasets

Qualifications

• Bachelor's degree in Engineering or Science.
• 19+ years of relevant experience for Principal level (ARL) or 5+ for Advanced level or 14+ for Senior level.
• Experience in R&D AI/machine learning environments.

Responsibilities

• Design and implement machine learning systems and models.
• Research and apply ML prototypes to sponsor domains.
• Visualize data for insights and produce technical reports.
• Perform data collection, modeling, and statistical analysis.
• Build software prototypes integrated with research environments.
• Collaborate with ARL staff and sponsors.
• Supervise lower-level staff and undergraduates and lead tasks within projects.

Skills

Data science/algorithm development

Python

ML model development

Education

Bachelor's Degree in Engineering or Science

Tools

Pandas

PyTorch/TensorFlow

NumPy

Matplotlib

PostgreSQL

FastAPI

Git

Docker

Kubernetes

SSH

Job description

Penn State University's Applied Research Laboratory is seeking Research and Development Engineers to advance state-of-the-art visualization and decision support for DoD-relevant data challenges. The role focuses on designing ML systems, experimenting with data fusion, and delivering technically rigorous reports from State College, PA or Reston, VA.

You will build high-quality prototypes, collaborate with sponsors, and guide junior staff while contributing to research across multi-domain datasets