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Volunteering Machine Learning Hardware Jobs (NOW HIRING)

Qualcomm

Staff Engineer

San Diego, CA · On-site

... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops optimized software to enable AI models deployed on hardware (e.g., machine ...

Avride

Machine Learning Engineer

Austin, TX

Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Qualcomm

Sr. Staff, Engineer

San Diego, CA · On-site

... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops critical optimized software to enable AI models deployed on hardware (e.g ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Avride

Machine Learning Engineer

Austin, TX · On-site

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Optimize inference performance, model compression, and deployment across various hardware platforms ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...

Neuralink

Machine Learning Engineer

Austin, TX

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems. At MatrixSpace, Machine Learning ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:

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All JobsVolunteering Machine Learning Hardware Jobs

Volunteering Machine Learning Hardware information

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$11

$27

$51

How much do volunteering machine learning hardware jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for volunteering machine learning hardware in the United States is $27.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $33.65 per hour, depending on experience, location, and employer.

What is the difference between Volunteering Machine Learning Hardware vs Data Scientist?

AspectVolunteering Machine Learning HardwareData Scientist
Required CredentialsTechnical knowledge of hardware, basic programming, volunteer experienceDegree in data science, statistics, or related field; programming skills
Work EnvironmentNon-profit projects, labs, or community settingsCorporate, research institutions, or tech companies
Industry UsageSupporting ML hardware development, open-source projectsAnalyzing data, building models, deriving insights
Search & Comparison IntentUnderstanding hardware volunteering roles vs data science roles

Volunteering Machine Learning Hardware focuses on supporting hardware infrastructure and open-source projects, often in volunteer or community settings. Data Scientists analyze data and develop models for business or research purposes. While both roles involve machine learning, they differ in focus, credentials, and work environment.

More about Volunteering Machine Learning Hardware jobs
What cities are hiring for Volunteering Machine Learning Hardware jobs? Cities with the most Volunteering Machine Learning Hardware job openings:
What states have the most Volunteering Machine Learning Hardware jobs? States with the most job openings for Volunteering Machine Learning Hardware jobs include:
What job categories do people searching Volunteering Machine Learning Hardware jobs look for? The top searched job categories for Volunteering Machine Learning Hardware jobs are:
Volunteering Machine Learning Hardware jobs near you
Infographic showing various Volunteering Machine Learning Hardware job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $57,471 per year, or $27.6 per hour.
Machine Learning Intern (Singapore)

Machine Learning Intern (Singapore)

TetraMem - Accelerate The World

San Jose, CA

$35 - $45/hr

Other

Posted 25 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 TetraMems 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 candidates education, experience, technical skills, and overall qualifications.

Work Location: This position is based on-site at TetraMems 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 TetraMems 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.

Apply