Senior RF & ML Research Scientist

Peraton; Red Bank (NJ); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton Labs seeks a seasoned researcher to advance RF and ML solutions for government and commercial customers. You will work on 5G, cybersecurity, and AI-driven RF analytics, delivering end-to-end ML pipelines and robust software-ready results.

The role emphasizes strong programming in Python/C++, DSP, and ML frameworks, with opportunities to publish and contribute to threat-resilient network solutions. U.S. citizenship is required.

Qualifications

• RF and ML research with emphasis on signal processing and data analytics.
• Hands-on with DSP, compressive sensing, and machine learning.
• Experience with ML frameworks and MLOps practices.

Responsibilities

• Advance RF and ML research for government/industrial clients.
• Develop ML pipelines from data ingestion to deployment and monitoring.
• Collaborate across teams on AI/ML and RF problems.
• Translate results into implementable technologies and papers.

Skills

RF communications

DSP

Compressive sensing

Sub-Nyquist sampling

ML algorithms

End-to-end ML pipelines

CNNs/RNNs/Transformers

Data analytics

ML model serving

MLOps

PyTorch

TensorFlow/Keras

scikit-learn

NumPy

Git

Linux

Education

BS in Electrical/Computer Engineering/CS/Applied Mathematics

MS/MA preferred (10+ years)

PhD preferred (7+ years)

US Citizenship

Tools

Python

C/C++

MATLAB

PyTorch

TensorFlow/Keras

scikit-learn

NumPy

Docker

MLflow

Weights&Biases (W&B)

Spark

Git

Linux

Job description

Peraton Labs seeks a seasoned researcher to advance RF and ML solutions for government and commercial customers. You will work on 5G, cybersecurity, and AI-driven RF analytics, delivering end-to-end ML pipelines and robust software-ready results.

The role emphasizes strong programming in Python/C++, DSP, and ML frameworks, with opportunities to publish and contribute to threat-resilient network solutions. U.S. citizenship is required.