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 • Experience integrating ML models into embedded or real-time systems • Background in Radio Frequency data analysis or spectrum sensing • Experience building data pipelines for model training and validation What You Will Be Doing Tech Breakdown • Machine Learning & Data Analysis • Signal Processing & Wireless Systems • Software Prototyping & Integration Daily Responsibilities • 70% Hands-On Development • 10% Research & Algorithm Design • 20% Cross-functional Collaboration The Offer • Bonus eligible You will receive the following benefits: • Medical, Dental, and Vision Insurance • Vacation Time Applicants must be currently authorized to work in the US on a full-time basis now and in the future.