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Temporary Embedded Machine Learning Jobs in California

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 ...

Apple

Embedded ISP Engineer

San Diego, CA · On-site

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

TetraMem Inc

Senior Machine Learning Engineer

San Jose, CA · On-site

$200K - $280K/yr

Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions ... Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and ...

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All JobsTemporary Embedded Machine Learning JobsTemporary Embedded Machine Learning Jobs in California

Temporary Embedded Machine Learning information

What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed 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 are the most commonly searched types of Embedded Machine Learning jobs in California? The most popular types of Embedded Machine Learning jobs in California are:
What cities in California are hiring for Temporary Embedded Machine Learning jobs? Cities in California with the most Temporary Embedded Machine Learning job openings:
Temporary Embedded Machine Learning jobs near you
Machine Learning Intern (Singapore)

Machine Learning Intern (Singapore)

TetraMem Inc

San Jose, CA • On-site

$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.

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