ML Engineer — Wireless RF Systems (Hybrid)

Silvus Technologies; Los Angeles (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Silvus Technologies is seeking a Machine Learning Engineer to enhance the performance of advanced wireless systems. This hybrid role will involve collaborating with experts to apply machine learning techniques in challenging RF environments, offering a rewarding opportunity for candidates with strong foundations in machine learning and wireless communications.

Qualifications

• Minimum of 3 years in machine learning; 1 year with PhD.
• Proficient in supervised and unsupervised learning.
• Active U.S. Government SECRET clearance required.

Responsibilities

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

Skills

Machine Learning

Data-driven techniques

Wireless communication

Collaborative skills

Signal processing

Education

M.S. or Ph.D. in Electrical Engineering

M.S. or Ph.D. in Computer Science

Tools

Python ML frameworks

MATLAB

C/C++

Job description

Current opportunities at Silvus Technologies

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “Keeping Our Heroes Connected ”?

Create a Job Alert

Level-up your career by having opportunities at Silvus Technologies sent directly to your inbox.