Wireless ML Engineer — MIMO & RF Systems

Silvus; Los Angeles (CA); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Silvus is searching for a Machine Learning Engineer to enhance wireless networking systems through machine learning techniques. This position is based in West Los Angeles, CA with a hybrid work schedule requiring 3 on-site days per week.

You will collaborate with experts to develop ML-driven features and must have a strong background in machine learning, data analysis, and programming in Python. A Bachelor’s in a related field is required along with a minimum of 2 years of experience.

Qualifications

• Minimum 2 years experience in machine learning applicable to real-world problems.
• Strong foundation in supervised and unsupervised learning.
• Exposure to MATLAB or C/C++ for signal processing.

Responsibilities

• Research and implement machine learning algorithms for wireless communication systems.
• Analyze RF datasets to develop predictive models.
• Collaborate with teams to define ML use cases and evaluate impacts.

Skills

Machine Learning

Data Analysis

Python (TensorFlow, PyTorch)

Statistical Modeling

Signal Processing

Education

Bachelor's in Electrical Engineering, Computer Science, or related field

Tools

MATLAB

C/C++

Job description

Silvus is searching for a Machine Learning Engineer to enhance wireless networking systems through machine learning techniques. This position is based in West Los Angeles, CA with a hybrid work schedule requiring 3 on-site days per week.

You will collaborate with experts to develop ML-driven features and must have a strong background in machine learning, data analysis, and programming in Python. A Bachelor’s in a related field is required along with a minimum of 2 years of experience.