Machine Learning/Signal Processing Engineer (Hybrid)

The role focuses on processing sensor signals, addressing noise challenges, and applying advanced time series modeling techniques to understand the signal’s behavior over time. You will also develop algorithms to detect and analyze spatial phenomena within the signal.

Responsibilities:

Process and analyze sensor data with attention to noise management.

Apply advanced time series modeling techniques to assess signal behavior over time.

Develop statistical algorithms for spatial signal detection.

Collaborate with our team to refine and implement solutions.

Qualifications:

At least 3 years of experience in signal processing and machine learning.

Expertise in noise filtering and time series modeling techniques.

MSC in CS/EE

Proficient in developing algorithms for spatial and temporal data analysis.

Familiarity with sensor data processing.

Strong programming skills (Python, MATLAB, or equivalent).

Excellent problem-solving abilities and attention to detail.

Location: Modiin- Hybrid