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
Signal Processing Engineer
Virtual Vocations Inc · New York, NY, USA ·
- Job type:
- Full Time