Signal Processing Engineer

Transforming raw time-series sensor data into actionable insights, the full-time salaried Signal Processing Engineer (RF/Acoustics) will design and develop signal processing pipelines and machine learning models, while collaborating with engineering experts in a fully remote environment. Key responsibilities: Design and develop signal processing pipelines and machine learning models for RF and acoustic data Evaluate algorithm performance and perform exploratory data analysis on raw sensor data Collaborate with cross-functional teams to translate operational challenges into data science solutions Required qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, or a related field 5+ years of professional experience in data science, machine learning, or applied signal processing Hands-on experience with time-series and signal processing techniques Proficiency in Python and relevant scientific computing libraries Direct industry experience in Aerospace, Telecommunications, or Military/Defense communications