Associate Engineer, Machine Learning

Motorola Solutions

Hybrid

Quick summary

Work type: Hybrid
Location: Irvine, CALos Angeles, CA
Salary: $90,000–$120,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k

This role $105k

$69k most similar roles pay here $283k

This role pays less than 99% of similar roles. Most pay $177,253–$249,750 — the shaded band above. At the midpoint, this role pays about $105k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 122 open roles on FindRole.

Listed pay typically runs $120,000–$150,000 across 108 roles with salary data.

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At a glance

TL;DR · Associate Engineer, Machine Learning

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Silvus is hiring an Associate Engineer, Machine Learning to join the Research and Development (R&D) team under the R&D Director. This role involves supporting machine learning techniques to enhance performance in wireless communication systems such as link adaptation, interference mitigation, and anomaly detection. The associate will analyze RF datasets, contribute to software prototypes, and integrate ML algorithms with Silvus’ radio firmware and networking stack. They will also collaborate with cross-functional teams to evaluate model impact and maintain data pipelines for training and validation. Essential qualifications include a Bachelor’s degree in Electrical Engineering or Computer Science plus 0-2 years of experience, proficiency in Python ML frameworks like TensorFlow and PyTorch, and basic knowledge of MATLAB or C/C++ for signal processing. Familiarity with wireless communication concepts and embedded ML is preferred.

Skills

Python TensorFlow PyTorch scikit-learn MATLAB C/C++ wireless communication concepts MIMO OFDM embedded ML GPU acceleration 3GPP IEEE 802.11/15 military waveforms adaptive modulation beamforming cognitive radio techniques

What you'll do

Lead research and design of machine learning algorithms to enhance wireless communication system performance.
Analyze RF datasets to extract insights and develop predictive models for real-world applications.
Contribute to software prototypes integrating ML algorithms with radio firmware and networking stack.
Design and maintain data pipelines and infrastructure for training, testing, and validating ML models.
Participate in iterative improvement cycles focusing on model performance benchmarking.

What we're looking for

Bachelor's degree in Electrical Engineering, Computer Science, or related field plus 0-2 years of ML experience.
Strong foundation in supervised and unsupervised learning and statistical modeling.
Experience with Python ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Basic exposure to MATLAB or C/C++ for signal processing algorithm development.
Familiarity with wireless communication concepts such as MIMO, OFDM, and 3GPP standards.

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