Machine Learning Engineer

Silvus; Los Angeles (CA); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Silvus is searching for a Machine Learning Engineer to enhance wireless networking systems through machine learning techniques. This position is based in West Los Angeles, CA with a hybrid work schedule requiring 3 on-site days per week.

You will collaborate with experts to develop ML-driven features and must have a strong background in machine learning, data analysis, and programming in Python. A Bachelor’s in a related field is required along with a minimum of 2 years of experience.

Qualifications

• Minimum 2 years experience in machine learning applicable to real-world problems.
• Strong foundation in supervised and unsupervised learning.
• Exposure to MATLAB or C/C++ for signal processing.

Responsibilities

• Research and implement machine learning algorithms for wireless communication systems.
• Analyze RF datasets to develop predictive models.
• Collaborate with teams to define ML use cases and evaluate impacts.

Skills

Machine Learning

Data Analysis

Python (TensorFlow, PyTorch)

Statistical Modeling

Signal Processing

Education

Bachelor's in Electrical Engineering, Computer Science, or related field

Tools

MATLAB

C/C++

Job description

THE COMPANY

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle‑proven StreamCaster family of MANET radios and proprietary MN‑MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.

With deep roots in DARPA research, Silvus Technologies develops world‑class advanced communications technologies that are reshaping the tactical communications landscape. From pure line‑of‑sight to extreme non‑line‑of‑sight, Silvus radios form a self‑healing, self‑forming mesh network, enabling secure and reliable connectivity, including video and high‑bandwidth data.

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "Keeping Our Heroes Connected"?

THE OPPORTUNITY

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. 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.

This position is based at Silvus Technologies’ headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On‑site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND 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 of which the above are representative.

REQUIRED QUALIFICATIONS

• Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus 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.
• All employment is contingent upon the successful clearance of a background check and drug test.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

• 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.

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS

• Office environment.
• Outdoor environment for demos.
• Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
• While performing the duties of this job, the employee is required to do the following:
  • Lift equipment up to 20 lbs. for the set‑up of demonstrations and testing.
  • Perform bending and reaching movements to place items on lower and higher shelves.

#silvuscareers

COMPENSATION

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. The actual offer will be based on the individual candidate.

CA Pay Range: $100,000 – $140,000 USD

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. This does NOT apply to international positions; only job postings for positions located in the US.

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.