Machine Learning Engineer
San Diego, CA · On-site
... of experience in embedded system development and optimization with application to a specific ... machine learning (e.g., Python, R, C, C++). • 1+ year of experience using statistics and ...
Machine Learning Engineer
San Diego, CA · On-site
... of experience in embedded system development and optimization with application to a specific ... machine learning (e.g., Python, R, C, C++). • 1+ year of experience using statistics and ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
Machine Learning Engineer
Los Angeles, CA · On-site
Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ... other related duties of which the above are representative. REQUIRED QUALIFICATIONS * Bachelor of ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Your role on our team As a Machine Learning ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
Machine Learning Engineer
San Diego, CA · On-site
$122.80K - $184.20K/yr
As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... of experience in embedded system development and optimization with application to a specific ...
Machine Learning Engineer
San Diego, CA · On-site
$122.80K - $184.20K/yr
As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... of experience in embedded system development and optimization with application to a specific ...
Machine Learning Engineer
San Diego, CA · On-site
$122.80K - $184.20K/yr
As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... of experience in embedded system development and optimization with application to a specific ...
Machine Learning Engineer
San Diego, CA · On-site
$122.80K - $184.20K/yr
As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... of experience in embedded system development and optimization with application to a specific ...
Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud ... Partner with embedded and infrastructure engineers to optimize cloud stack. * Partner with ...
Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud ... Partner with embedded and infrastructure engineers to optimize cloud stack. * Partner with ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Experience : 9+yrs Visa : GC, USC, GCEAD, H4EAD, TN Tax Term : W2 Client ... embedded or firmware-integrated contexts (leveraging C++ if needed). 7. Applying Strong Theoretical ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Experience : 9+yrs Visa : GC, USC, GCEAD, H4EAD, TN Tax Term : W2 Client ... embedded or firmware-integrated contexts (leveraging C++ if needed). 7. Applying Strong Theoretical ...
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
Machine Learning Researcher
$150K - $290K/yr
Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in ...
Machine Learning Researcher
$150K - $290K/yr
Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in ...
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
Machine Learning Researcher
San Jose, CA · On-site
$150K - $290K/yr
Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in ...
Machine Learning Researcher
San Jose, CA · On-site
$150K - $290K/yr
Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in ...
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
Quick apply
The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage ... This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to ...
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions ... Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
Mid-Level Machine Learning Engineer
San Jose, CA · On-site
$110K - $200K/yr
Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions ... Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
Temporary Embedded Machine Learning information
See salary details
$70K - $79.5K
1% of jobs
$79.5K - $88.9K
2% of jobs
$88.9K - $98.4K
3% of jobs
$98.4K - $107.8K
6% of jobs
$107.8K - $117.3K
5% of jobs
$117.3K - $126.7K
5% of jobs
$130K is the 25th percentile. Wages below this are outliers.
$126.7K - $136.2K
5% of jobs
$136.2K - $145.6K
7% of jobs
$145.6K - $155.1K
3% of jobs
$155.1K - $164.5K
3% of jobs
The median wage is $165.8K / yr.
$164.5K - $174K
58% of jobs
$70K
$153.4K
$174K
How much do temporary embedded machine learning jobs pay per year?
As of Jun 2, 2026, the average yearly pay for temporary embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.
What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?
| Aspect | Temporary Embedded Machine Learning | Embedded Software Engineer |
|---|---|---|
| Credentials | Relevant degrees in CS, EE, or data science; certifications in ML or embedded systems | Degrees in CS, EE; certifications in embedded systems or software development |
| Work Environment | Project-based, often in tech or manufacturing industries, with focus on ML integration | Designing, developing, and testing embedded software in various industries like automotive, IoT |
| Industry Usage | Used in AI-driven embedded systems, IoT devices, and smart gadgets | Used in consumer electronics, automotive, industrial automation |
Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.
What cities are hiring for Temporary Embedded Machine Learning jobs? Cities with the most Temporary Embedded Machine Learning job openings:
What are the most commonly searched types of Embedded Machine Learning jobs? The most popular types of Embedded Machine Learning jobs are:
What states have the most Temporary Embedded Machine Learning jobs? States with the most job openings for Temporary Embedded Machine Learning jobs include:
Job description
Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Qualcomm
Sourced by ZipRecruiter
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1985