AI/ML R&D Engineer - Generative and Safe AI

The Pennsylvania State University

Ferguson Township (PA)

On-site

USD 122,000 - 231,000

Full time

14 days+
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Benefits offered by this job

Tuition discount (75%)

Job summary

The Pennsylvania State University is seeking a highly motivated researcher to join the Applied Research Laboratory\u2019s Comprehensive Software Solutions department. The role focuses on AI/ML, DL, and Generative AI with emphasis on adversarial, safe, and agentic AI, collaborating across disciplines to translate research into deployable capabilities.

The candidate will publish, design, prototype, and evaluate mission-focused AI solutions, benefiting internal ARL needs and sponsor projects, with

Qualifications

  • Bachelor\'s Degree in Engineering or Science.
  • 5+ years of relevant experience for Advanced Professional or 14+ years for Senior level.
  • Experience with AI/ML model development and evaluation.

Responsibilities

  • Conduct advanced research in AI/ML, software engineering, computational systems, or related fields.
  • Develop novel methods, models, and technologies addressing AI challenges for sponsors.
  • Communicate results through reports, publications, and presentations to stakeholders.
  • Collaborate with interdisciplinary teams to design, prototype, and evaluate mission-focused solutions.
  • Integrate AI/ML models into software systems or prototypes.
  • Maintain reproducible experiments and documentation.

Skills

Machine learning
Reinforcement learning
Python
GPU acceleration
Version control
Communication
Research publications

Education

Bachelor\'s Degree in Engineering or Science
Master’s or Doctorate degree

Tools

PyTorch
TensorFlow
JAX
Python
NumPy
Pandas
SciPy

Job description

The Pennsylvania State University is seeking a highly motivated researcher to join the Applied Research Laboratory\u2019s Comprehensive Software Solutions department. The role focuses on AI/ML, DL, and Generative AI with emphasis on adversarial, safe, and agentic AI, collaborating across disciplines to translate research into deployable capabilities.

The candidate will publish, design, prototype, and evaluate mission-focused AI solutions, benefiting internal ARL needs and sponsor projects, with

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