Machine Learning Engineer/ Communications/ West Los Angeles / Hybrid

An industry-leading technology company based in West Los Angeles is seeking a Machine Learning Engineer to join their cutting-edge R&D team. This company is at the forefront of advanced MIMO radio and wireless networking technologies used in high-demand, mission-critical environments. This is a full-time role offering a hybrid schedule (3 days onsite) and the chance to work on some of the most innovative machine learning applications in wireless systems today. This is an exciting opportunity to bridge the worlds of machine learning and real-world RF systems. If you're a creative problem-solver with a passion for applying ML to physical systems, this role offers unparalleled growth. You'll be working alongside a world-class team of DSP, embedded systems, and communications experts in a highly collaborative environment. If you're looking for the chance to solve real, impactful challenges with deep technical depth and see your models deployed into production, this is your stage.Required Skills & Experience • M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field • 3+ years of experience applying ML to real-world problems (or 1+ year with a Ph.D.) • Strong background in supervised and unsupervised learning, signal processing, and statistical modeling • Proficiency in Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of wireless communications (e.g., PHY/MAC layers, MIMO, OFDM, SDRs) • Experience with MATLAB or C/C++ for signal processing algorithm developmentDesired Skills & Experience • Experience deploying ML models to embedded systems or firmware • Familiarity with wireless protocol stacks and/or radio networking • Hands-on experience with large-scale RF datasets and custom data pipelines • Exposure to reinforcement learning or anomaly detection in communications systemsWhat You Will Be DoingTech Breakdown • 60% Python / ML Frameworks (TensorFlow, PyTorch, etc.) • 20% Signal Processing (MATLAB, C/C++) • 20% Wireless Communication Systems / Firmware IntegrationDaily Responsibilities • 70% Hands-On Machine Learning & Signal Processing • 10% Cross-functional Collaboration with Firmware & Networking Teams • 20% Data Analysis, Research, and Performance TuningThe Offer • Bonus eligible You will receive the following benefits: • Medical, Dental, and Vision Insurance • Paid Vacation and Sick Leave • Stock Options / Equity • Hybrid Work Schedule (3 days onsite in West LA) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.