Senior AI/ML Engineer (RF Analysis)

TL;DR

Senior AI/ML Engineer (RF Analysis): Developing and deploying machine learning systems that utilize RF data for real-time maritime intelligence with an accent on signal detection, classification, and vessel activity tracking. Focus on building dataset curation pipelines, optimizing inference workflows for edge hardware, and bridging DSP feature outputs with model inputs.

Location: Must be based in Arlington, VA; Boston, MA; or San Francisco, CA (Hybrid)

Company

hirify.global leverages cutting-edge AI and robotics to enhance maritime domain awareness through distributed open-ocean systems.

What you will do

• Design, train, and deploy ML models for RF signal detection and classification.
• Build dataset curation pipelines including synthetic data generation and ground truth labeling.
• Define pre-processing and feature extraction requirements in coordination with DSP engineers.
• Develop model evaluation frameworks and benchmarking harnesses to drive performance improvements.
• Optimize models and inference workflows for deployment on edge compute hardware.
• Document model architecture, training methodology, and validation results.

Requirements

• 5+ years of experience building and deploying ML systems with a focus on RF or signals data.
• Master's or PhD in Machine Learning, Signal Processing, or equivalent experience.
• Proficiency in Python and deep learning frameworks.
• Strong understanding of signal alignment, temporal synchronization, and feature extraction from IQ and spectral data.
• Proven ability to ship production models.
• Active Secret clearance or demonstrated ability to obtain one.

Nice to have

• Familiarity with RF-native tooling such as Torchsig.
• Experience in maritime, aerospace, or operationally demanding spectral environments.
• Familiarity with edge inference constraints and optimization techniques like quantization and pruning.