Machine Learning Engineer / Wireless Systems / Hybrid Los Angeles

Job Description

This is a full-time opportunity for a Machine Learning Engineer based in Los Angeles, CA (hybrid schedule, 3 days onsite). Our client is a specialized engineering firm focused on developing next-generation wireless systems. Their work centers around building intelligent, resilient communication technologies designed to perform reliably in unpredictable and demanding environments.

This is a unique opportunity to apply machine learning to real-world wireless communication problems. You'll work alongside experts in signal processing, embedded systems, and networking to develop ML-driven features that enhance performance, efficiency, and adaptability. If you're passionate about solving complex technical challenges and want to work on systems that truly matter, this role offers a chance to make a tangible impact while growing your skills in a highly specialized domain.

Required Skills & Experience

• M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field
• 3+ years of experience in machine learning
• Strong foundation in supervised / unsupervised learning, signal processing, and statistical modeling
• Proficiency with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with wireless communication systems (e.g., MIMO, OFDM, SDRs)
• Experience with MATLAB or C / C++ for signal processing development

Desired Skills & Experience

What You Will Be Doing

Tech Breakdown

Daily Responsibilities

The Offer

You will receive the following benefits :

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by : Adam Carman

Specialization :