Machine Learning Engineer

About the role

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is seeking a Machine Learning Engineer to join the R&D team. The successful candidate 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.

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 radio frequency 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 machine learning 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.

Requirements

• 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 15 months of hire.
• Must be a U.S. Citizen due to clients under U.S. government contracts.

Qualifications

• Must be a U.S. Person (permanent resident or citizen).

Skills

• Experienced in radio frequency signal classification, anomaly detection, or spectrum monitoring.
• Familiarity with embedded machine learning, real-time systems, or deploying machine learning 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.

Benefits

• $120,000 - $160,000 / annually
• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!

Compensation

The pay range is NOT a guarantee. It is based on market research and peer data and will vary depending on the candidate's experience and qualifications.

Travel Requirements

Under 10%

Relocation Provided

Domestic

Position Type

Experienced

Referral Payment Plan

Yes