They are seeking a Machine Learning Engineer to develop cutting edge Deep Learning technologies applied to Computer Vision, Synthetic Aperture Radar, and Geospatial Exploitation, with a direct impact ...
They are seeking a Machine Learning Engineer to develop cutting edge Deep Learning technologies applied to Computer Vision, Synthetic Aperture Radar, and Geospatial Exploitation, with a direct impact ...
They are currently seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technologies for Computer Vision and Geospatial Exploitation, with significant responsibilities impacting ...
They are currently seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technologies for Computer Vision and Geospatial Exploitation, with significant responsibilities impacting ...
Senior Machine Learning Engineer
$112K - $154K/yr
We are hiring a Senior Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes ...
Senior Machine Learning Engineer
$112K - $154K/yr
We are hiring a Senior Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes ...
Our lively and brilliant team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our ...
Our lively and brilliant team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our ...
Lead Machine Learning Engineer
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Lead Machine Learning Engineer Req ID: 10151720 Translation Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product ...
Lead Machine Learning Engineer
$108K - $143K/yr
Lead Machine Learning Engineer Req ID: 10151720 Translation Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product ...
Senior Machine Learning Engineer
Long Beach, CA · On-site
$114K - $156K/yr
The Senior Machine Learning Engineer will design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in artificial intelligence ...
Senior Machine Learning Engineer
Long Beach, CA · On-site
$114K - $156K/yr
The Senior Machine Learning Engineer will design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in artificial intelligence ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
Senior Machine Learning Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
Senior Machine Learning Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
3D Machine Learning Engineer
Irvine, CA · On-site
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
3D Machine Learning Engineer
Irvine, CA · On-site
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
Quick apply
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...
Senior Machine Learning Engineer
Irvine, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
Senior Machine Learning Engineer
Irvine, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
Senior Machine Learning Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
Senior Machine Learning Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...
Machine Learning Engineer - Associate
$120K - $170K/yr
The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture ...
Machine Learning Engineer - Associate
$120K - $170K/yr
The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture ...
Senior Machine Learning Engineer
Long Beach, CA · On-site
$114K - $156K/yr
They are seeking a Senior Machine Learning Engineer to design, build, and deploy machine learning and AI capabilities, working with a cross-functional team to enhance technology for space superiority.
Senior Machine Learning Engineer
Long Beach, CA · On-site
$114K - $156K/yr
They are seeking a Senior Machine Learning Engineer to design, build, and deploy machine learning and AI capabilities, working with a cross-functional team to enhance technology for space superiority.
Senior Machine Learning Engineer
Los Angeles, CA · Remote
$120K - $205K/yr
Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force ...
Quick apply
Senior Machine Learning Engineer
Los Angeles, CA · Remote
$120K - $205K/yr
Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force ...
Embedded Machine Learning Engineer information
See Bellflower, CA salary details
$73.1K - $83K
1% of jobs
$83K - $92.9K
2% of jobs
$92.9K - $102.8K
3% of jobs
$102.8K - $112.7K
6% of jobs
$112.7K - $122.5K
5% of jobs
$122.5K - $132.4K
5% of jobs
$135.9K is the 25th percentile. Wages below this are outliers.
$132.4K - $142.3K
5% of jobs
$142.3K - $152.2K
7% of jobs
$152.2K - $162.1K
3% of jobs
$162.1K - $171.9K
3% of jobs
The median wage is $173.3K / yr.
$171.9K - $181.8K
58% of jobs
$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?
| Aspect | Embedded Machine Learning Engineer | Firmware Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworks | Bachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience |
| Work Environment | Develops ML models for embedded devices, often in IoT or smart devices | Designs and implements low-level firmware for hardware devices |
| Industry Usage | Tech companies, IoT, consumer electronics, automotive | Consumer 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:
Full-time
Posted 18 days ago
Job description
Job Summary:
Voyager Technologies is an innovative defense, national security and space technology company committed to advancing and delivering transformative solutions. They are seeking a Machine Learning Engineer to develop cutting edge Deep Learning technologies applied to Computer Vision, Synthetic Aperture Radar, and Geospatial Exploitation, with a direct impact on issues facing U.S. government customers.
Responsibilities:
• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models
• Apply deep learning algorithms to train neural networks for object detection and classification
• Develop domain-aware pre-processing algorithms, and other methods to increase model generalization
• Apply signal pre-processing techniques on SAR data
• Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
• Develop appropriate objective functions and sound performance assessment plans
• Present work at meetings and conferences
• Develop and deliver production-quality code (mainly Python)
Qualifications:
Required:
• Must be able to obtain and maintain a US government clearance (requires US citizenship)
• 5-15 years applicable experience
• Bachelor's degree in engineering or related field
Preferred:
• Master's degree
• Strong background in Machine Learning (preferably Deep Neural Networks)
• Need to be flexible in a small business environment
• Familiarity with radar sensing phenomenology
• Open Source frameworks is a huge plus
• Ability to program in multiple languages (Python, Matlab, C/C++)
Company:
Voyager Technologies is a defense and space technology company that develops solutions for national security and commercial space missions. Founded in 2019, the company is headquartered in Denver, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Voyager Technologies is an innovative defense, national security and space technology company committed to advancing and delivering transformative solutions. They are seeking a Machine Learning Engineer to develop cutting edge Deep Learning technologies applied to Computer Vision, Synthetic Aperture Radar, and Geospatial Exploitation, with a direct impact on issues facing U.S. government customers.
Responsibilities:
• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models
• Apply deep learning algorithms to train neural networks for object detection and classification
• Develop domain-aware pre-processing algorithms, and other methods to increase model generalization
• Apply signal pre-processing techniques on SAR data
• Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
• Develop appropriate objective functions and sound performance assessment plans
• Present work at meetings and conferences
• Develop and deliver production-quality code (mainly Python)
Qualifications:
Required:
• Must be able to obtain and maintain a US government clearance (requires US citizenship)
• 5-15 years applicable experience
• Bachelor's degree in engineering or related field
Preferred:
• Master's degree
• Strong background in Machine Learning (preferably Deep Neural Networks)
• Need to be flexible in a small business environment
• Familiarity with radar sensing phenomenology
• Open Source frameworks is a huge plus
• Ability to program in multiple languages (Python, Matlab, C/C++)
Company:
Voyager Technologies is a defense and space technology company that develops solutions for national security and commercial space missions. Founded in 2019, the company is headquartered in Denver, USA, with a team of 501-1000 employees. The company is currently Late Stage.