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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Silvus Technologies - **Location:** Los Angeles, CA, United States - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Algorithm Design, Beamforming, Program Optimization, Computer Engineering, Firmware, Python (Programming Language), MATLAB, Machine Learning, Tensorflow, Signal Processing, Smart Devices, Software Engineering, Real Time Systems, Pytorch, Scikit Learn, Information Technology, Data Pipelines, Unsupervised Learning - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/machine-learning-engineer-silvus-technologies-7998655 ## About the Role * Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD) * Strong foundation in supervised and unsupervised learning and statistical modeling. * Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). * Exposure to MATLAB or C/C++ for signal processing algorithm development. * Must be a U.S. Citizen due to clients under U.S. government contracts. * All employment is contingent upon the successful clearance of a background check and drug test. PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES * MS. or Ph.D. in Electrical Engineering, Computer Science, or a related field. * Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring. * Proficiency in MATLAB or C/C++ for signal processing algorithm development. * Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access). * Familiarity with embedded ML, real-time systems, or deploying ML on edge devices. * Background in adaptive modulation, beamforming, or cognitive radio techniques. * Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms. * Experience with GPU acceleration or model optimization for constrained environments. * Excellent communication and collaboration skills. WORKING CONDITIONS AND PHYSICAL REQUIREMENTS * Office environment. * Outdoor environment for demos. * Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field. * While performing the duties of this job, the employee is required to do the following: + Lift equipment up to 20 lbs. for the set-up of demonstrations and testing. + Perform bending and reaching movements to place items on lower and higher shelves. ## Description * Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing). * Analyze real-world RF datasets to extract insights and develop predictive models. * Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack. * Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models. * Contribute to the design of data pipelines and infrastructure for training, testing, and validating models. * Participate in performance benchmarking and iterative improvement cycles. * Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform other related duties of which the above are representative. ## Related Videos - [Robots are coming into the wild! 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