Silvus Technologies is seeking a Machine Learning Engineer to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments. The successful individual 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.
Requirements
- Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field
- Minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems
- 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
Benefits
- Paid time off
- 401k matching
- Retirement plan
- Medical benefits
- Dental benefits
- Vision benefits
