Machine Learning Engineer
About The Position
Motorola Solutions, a global community focused on keeping people safer, is seeking a Machine Learning Engineer for its subsidiary, Silvus Technologies. Silvus Technologies specializes in advanced MANET and MIMO communications systems, reshaping mesh network technology for mission-critical applications. The Machine Learning Engineer will join the R&D team, reporting to the R&D Director, Machine Learning. This role focuses on applying machine learning and data-driven techniques to enhance the performance, efficiency, and adaptability of Silvus’ advanced MIMO radios and wireless networking systems. The engineer will collaborate with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features for challenging RF environments. This position is based at Silvus Technologies' headquarters in West Los Angeles, CA, with a hybrid schedule requiring a minimum of 3 days onsite per week (Mondays, Wednesdays, and Thursdays).
Requirements
- Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.
- A minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems (no experience required with an advanced degree - MS or PhD).
- 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.
- Successful clearance of a background check and drug test.
Nice To Haves
- M.S. 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.
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.
- Perform other related duties as assigned.
Benefits
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K with Company Match
- 10 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
