Senior ML Engineer — Wireless & RF Systems

Motorola Solutions

Los Angeles (CA)

On-site

USD 150,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Incentive bonus
Medical, Dental, Vision benefits
401K with Company Match
Paid Holidays
Generous Paid Time Off
Employee Stock Purchase Plan
Parental & Family Leave

Job summary

Motorola Solutions, through its Silvus Technologies subsidiary, is seeking a skilled ML engineer to join the Signals and Systems group. You will develop machine learning solutions that enhance wireless communications performance, impacting products and services used by critical operations worldwide.

You will collaborate with UX designers, infrastructure engineers, and researchers to deploy ML algorithms across edge devices and data centers, staying current with ML research for wireless and

Qualifications

  • Bachelor degree with 4+ years as ML engineer.
  • 2+ years Python and PyTorch or TensorFlow.
  • 2+ years RF signal processing experience.
  • U.S. citizen capable of obtaining security clearance.

Responsibilities

  • Gather inputs from SDR across RF signals.
  • Combine signal processing, statistics, ML for large-scale systems.
  • Collaborate with UX, infra, and research to deploy prototypes.
  • Stay current with ML research for wireless and embedded systems.

Skills

ML engineer experience
Python
Communication skills
Mathematics background
ML fundamentals

Education

Bachelor's degree in a quantitative field
Advanced degree in a quantitative field

Tools

PyTorch
TensorFlow
RF signal processing
SDR

Job description

Motorola Solutions, through its Silvus Technologies subsidiary, is seeking a skilled ML engineer to join the Signals and Systems group. You will develop machine learning solutions that enhance wireless communications performance, impacting products and services used by critical operations worldwide.

You will collaborate with UX designers, infrastructure engineers, and researchers to deploy ML algorithms across edge devices and data centers, staying current with ML research for wireless and

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