Silvus Technologies
Machine Learning Engineer
About this role
Silvus Technologies is looking for a Machine Learning Engineer to enhance the performance of their advanced MIMO radios and wireless systems. The role involves collaborating with experts to implement machine learning solutions in dynamic RF environments, based at the company's Los Angeles headquarters with a hybrid work schedule.
What you'll do
- Design and implement ML algorithms for wireless communication systems
- Analyze RF datasets and develop predictive models
- Integrate ML algorithms with radio firmware and networking stack
- Collaborate with teams to define ML use cases
- Contribute to data pipeline design for model validation
- Participate in performance benchmarking
What they're looking for
- Machine learning frameworks (TensorFlow, PyTorch)
- Python programming
- Statistical modeling
- MATLAB or C/C++ for signal processing
- RF signal classification
- MIMO and OFDM concepts
- Excellent communication skills
- Collaboration skills
Benefits
- Hybrid work schedule
- Opportunity to work on advanced communications technologies
- Collaborative team environment
- Involvement in mission-critical applications
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Silvus Technologies
Silvus Technologies builds advanced mesh networking communications systems for defense and public safety applications, including their StreamCaster MANET radio products. The company is hiring wireless engineers, RF designers, software test engineers, and systems engineers to develop next-generation wireless technologies through design, simulation, prototyping, and field testing.
View all jobs at Silvus Technologies