Silvus Technologies
Machine Learning Engineer
Los Angeles CA · Director · Contract
Work authorization required$100k-$140kDetected 55 days ago
PythonC++MATLABAlgorithmsMachine LearningTensorFlowPyTorchscikit-learnData EngineeringEmbedded SystemsElectrical EngineeringSignal ProcessingResearchCommunicationCollaborationAdaptability
About the role
- Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team.
- The successful individual in this role 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
- 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.
- Perform other related duties of which the above are representative.
- This individual 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.
- We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.
Requirements
- Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
- Must be a U.S. Citizen due to clients under U.S. government contracts.
- NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen).
- Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the Required Qualifications section of the posted position.
Nice to have
- no experience required with an advance degree (MS or PhD)
Skills
- 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.
- This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule.
- Pay within this range varies and depends on job-related knowledge, skills, and experience.
Compensation
- The pay range is NOT a guarantee.
- Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity.
- Pay within this range varies and depends on job-related knowledge, skills, and experience.
- $100,000 - $140,000 USD
Benefits
- Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity.
- Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
- Stay current with the latest Machine Learning research for wireless and embedded systems.
Equal opportunity
- Motorola Solutions is an Equal Opportunity Employer.
Visa & Work Authorization
- Citizen due to clients under U
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This listing is sourced directly from Silvus Technologies's careers page and normalized into a canonical job model.