Machine Learning Engineer

Motorola Solutions

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Los Angeles, CA
Salary
$150,000–$180,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $165k
$136k most similar roles pay here $279k

This role pays less than 87% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $165k versus about $223k 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 135 open roles on FindRole.

Listed pay typically runs $106,500–$140,000 across 117 roles with salary data.

Most-posted roles

View all roles at Motorola Solutions

At a glance

TL;DR · Machine Learning Engineer

Role Posting Log in to save

As a Machine Learning Engineer within the Signals and Systems group, you will develop machine learning solutions designed to enhance performance in wireless communication systems. You will manage inputs from unique sources, such as software defined radio captures across various RF signals, while building large-scale, high-throughput systems that process vast quantities of data. Your daily work involves collaborating with UX designers and infrastructure engineers to prototype and integrate ML algorithms across scales ranging from resource-constrained edge compute to full-sized data centers. The role requires expert knowledge in Python and frameworks like PyTorch or TensorFlow, alongside a strong foundation in linear algebra, probability, and statistical modeling. You will apply these skills to solve complex problems in signal processing for mission-critical applications, utilizing your expertise in supervised and unsupervised learning to improve wireless and embedded systems.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Python PyTorch TensorFlow Machine Learning RF Signal Processing SDR Linux Docker Kubernetes AWS Azure NoSQL DevOps Jira Azure DevOps Linear Algebra Probability and Statistics

What you'll do

  • Develop machine learning solutions to enhance performance in wireless communication systems.
  • Manage and process data from unusual sources, including software-defined radio (SDR) captures across various RF signals.
  • Build large-scale, high-throughput systems using signal processing, probability, statistics, and modern AI methods.
  • Integrate ML algorithms into products ranging from resource-constrained edge devices to full-sized data centers.
  • Develop prototypes in coordination with UX designers, infrastructure engineers, and research scientists.
  • Stay current on machine learning research specifically for wireless and embedded systems.
  • Apply advanced mathematical concepts like linear algebra and probability to solve complex signal processing problems.

What we're looking for

  • Must have a Bachelor's degree.
  • Must be a U.S. citizen with the ability to obtain necessary security clearances.
  • Requires 4+ years of experience as a machine learning engineer.
  • Requires 2+ years of experience with Python and PyTorch or TensorFlow.
  • Requires 2+ years of experience with RF signal processing.
  • Must have expert knowledge in Python and an ML framework like PyTorch or TensorFlow.
  • Must possess a strong mathematics background, particularly in linear algebra and probability.
  • Must have strong written and oral communication skills.

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