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Embedded Machine Learning Engineer Jobs in Bellflower, CA

Motorola

Senior Machine Learning Engineer

Los Angeles, CA

$195K - $225K/yr

Stay current with the latest machine learning research for wireless and embedded systems, applying ... Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Senior Machine Learning Engineer We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$110K - $152K/yr

Yum! Brands is seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms for media measurement and customer analytics. This role involves collaborating ...

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

Magnopus

Machine Learning Engineer II

Los Angeles, CA · On-site

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product innovation, real-time systems, and creative collaboration. In this role, you won't just build models ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Bellflower, CA

Embedded Machine Learning Engineer information

See Bellflower, CA salary details

$73.1K

$160.3K

$181.8K

How much do embedded machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for embedded machine learning engineer in Bellflower, CA is $160,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,400.00 and $180,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Bellflower, CA? For Embedded Machine Learning Engineer jobs in Bellflower, CA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Bellflower, CA look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Bellflower, CA are:
What cities near Bellflower, CA are hiring for Embedded Machine Learning Engineer jobs? Cities near Bellflower, CA with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Motorola Solutions, Inc.

Los Angeles, CA • On-site

$195K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers

Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Silvus Technologies is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.
Silvus StreamCaster™ radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.
We're excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
Job Description
Would you like to join a talented group of people, doing challenging work, with the mission of "Keeping Our Heroes Connected"?
You will join the Signals and Systems group where you will be developing machine learning solutions that enhance performance in wireless communication systems. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.
Roles and Responsibilities
  • Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
  • Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
  • Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
  • Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand

Required Skills
  • 6+ years experience as a machine learning engineer
  • Expert knowledge in Python and PyTorch or TensorFlow
  • Strong foundation in supervised and unsupervised learning and statistical modeling
  • Strong mathematics background, particularly in linear algebra and probability
  • Strong written and oral communication skills

Desired Skills
  • Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
  • Familiarity with relational and NoSQL databases
  • Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
  • Familiarity with cloud-based infrastructure: Azure and/or AWS
  • Experience tracking projects with Jira, Azure DevOps or similar tooling
  • Experience with Linux, DevOps (command line)
  • Experience with containerized infrastructure (Docker, Kubernetes)
  • Familiarity with regulated environments, such as sovereign clouds

Target Base Salary Range: $195,000 USD - $225,000 USD
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.
As a part of the application process, we encourage you to include a link to code you've written.
Note: This role is 100% on-site in our Los Angeles office.
#LI-MP2
#LI-ONSITE
Basic Requirements
  • Bachelor degree with 8+ years experience as a machine learning engineer
  • AND 6+ years of Python and PyTorch or TensorFlow experience
  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.

Travel Requirements
None
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
  • 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
  • and more!

EEO Statement
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.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

What Motorola Solutions employees say

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Hours and flexibility

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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