Expedition Technology (EXP) is looking to tackle unsolved challenges in the new field of Radio Frequency Machine Learning by combining machine learning with digital signal processing.
Requirements
- Proficiency in modern programming languages (Python preferred)
- Familiarity with command line and version control (Git) experience
- Interest in signal processing (courses, clubs, projects, etc.)
- Interest in machine learning (RF, audio, computer-vision, LLMs)
Responsibilities
- Delve into real-time machine learning systems operating on streaming, real-world RF data.
- Craft novel algorithms for GPU-accelerated digital signal analysis across diverse RF domains like communications and radar.
- Leverage Python to execute core digital signal processing tasks – from filtering and spectral analysis to waveform generation.
- Work with the team to integrate your solutions to run in real systems to demonstrate their effectiveness.
- Utilize and deploy modern DevOps and MLOps tools.
- Engage in data processing pipelines, training ML systems, analyzing outcomes, working alongside a team of developers, and tackling real-world issues alongside our esteemed teams.
Other
- United States citizenship is required for security clearance purposes
- Currently enrolled student pursuing a college degree in computer science, electrical engineering, math, physics, or other STEM-related field
- Entering final year of an undergraduate or graduate program with an anticipated graduation date of December 2026 or May 2027
- Interest in working in defense and intelligence post-graduation
- Must be willing to undergo background investigation for a US-government issued security clearance
