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Hourly Embedded Machine Learning Jobs (NOW HIRING)

Rivet Industries

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 ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Competitive hourly compensation ($28 - $45/hr) * Hands-on real-world AI/ML project experience

Motorola

Machine Learning Engineer

Los Angeles, CA

$150K - $180K/yr

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 * 4+ years experience as ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Apple

Machine Learning Engineer

Cupertino, CA

$147K - $220K/yr

... shared AI platform and embedded across products - Design, build, and own end-to-end GenAI ... machine learning concepts, including supervised and unsupervised learning; exposure to ...

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Hourly Embedded Machine Learning information

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$70K

$153.4K

$174K

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

As of Jun 26, 2026, the average yearly pay for hourly 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 are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

More about Hourly Embedded Machine Learning jobs
What cities are hiring for Hourly Embedded Machine Learning jobs? Cities with the most Hourly 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 Hourly Embedded Machine Learning jobs? States with the most job openings for Hourly Embedded Machine Learning jobs include:
What job categories do people searching Hourly Embedded Machine Learning jobs look for? The top searched job categories for Hourly Embedded Machine Learning jobs are:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 11% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Machine Learning Intern (Singapore)

Machine Learning Intern (Singapore)

TETRAMEM INC

San Jose, CA

$35 - $45/hr

Internship

Posted 6 days ago

Job description

About the Role
We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog compute-in-memory chips. This is an exciting opportunity to work at the intersection of software, hardware, and artificial intelligence.


Responsibilities

  • Develop, optimize, and maintain Python and C++ software for neural network model compression, conversion, deployment, and runtime environments.
  • Design and implement tools to improve machine learning model efficiency, including quantization, pruning, graph optimization, and memory reduction techniques.
  • Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures.
  • Develop software frameworks, APIs, and runtime components to support end-to-end AI model deployment on edge AI and embedded systems.
  • Perform software design, implementation, debugging, testing, and performance profiling to optimize system throughput, latency, and resource utilization.
  • Collaborate closely with AI researchers, hardware engineers, and system architects to validate hardware-software co-design and system-level functionality.
  • Evaluate emerging machine learning models, algorithms, and deployment techniques to enhance AI inference performance on next-generation semiconductor platforms.
  • Participate in code reviews, establish software quality standards, and contribute to automated testing, continuous integration, and technical documentation.
  • Troubleshoot software and system issues across the AI stack, including model conversion pipelines, runtime environments, and hardware acceleration frameworks.
  • Contribute to the development of innovative AI computing technologies and support research activities through technical presentations, publications, patents, and cross-functional collaboration.


Qualifications
• Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
• Solid programming experience in Python, C++, or similar
• Understanding of data structures, algorithms, and software architecture
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
• Strong problem-solving skills and eagerness to learn

Compensation

• Hourly Rate: $35.00 – $45.00 per hour (USD)

• The final compensation will be determined based on the candidate’s education, experience, technical skills, and overall qualifications.

Work Location: This position is based on-site at TetraMem’s U.S. office in San Jose, California.

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.
TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.
To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMem’s official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.
We encourage all interested candidates to apply through the official TetraMem Careers page.