Machine Learning Engineer

THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer with a strong background in wireless communications to join our innovative R&D team. This role will report to the R&D Director, Machine Learning and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus’ advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies’ headquarters in the heart of vibrant West Los Angeles, CA and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES

• 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.

REQUIRED QUALIFICATIONS

• M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
• Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
• Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
• Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
• Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
• Proficiency in MATLAB or C/C++ for signal processing algorithm development.
• Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
• Must be a U.S. Citizen due to clients under U.S. government contracts.

PREFERRED KNOWLEDGE, SKILLS AND ABILITIES

• Excellent communication and collaboration skills.
• Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
• 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.

WORKING CONDITIONS & 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.

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