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Internship Socket Programming Jobs in Fremont, CA

Socket.dev

Firmware Engineer

Pleasanton, CA · On-site

$123.58 - $161.79/hr

... internship experience; other technical degrees considered with 2+ years of directly relevant ... Proficiency in assembly language programming for embedded targets. * Experience implementing ...

Socket.dev

Senior Mechanical Engineer

San Francisco, CA · On-site

$182 - $230/hr

Bachelor's degree in Mechanical Engineering, Mechatronics, or a closely related field. * 5+ years of non-internship professional Mechanical Design Engineering experience. * Proficient hands-on design ...

New

Socket.dev

Camera System Firmware Engineer

Milpitas, CA · On-site

$118 - $200/hr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

New

Socket.dev

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184 - $200/hr

Position Overview We are looking for a talented data scientist/algorithm engineer who is passionate ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

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All JobsSocket Programming JobsInternship Socket Programming JobsInternship Socket Programming Jobs in Fremont, CA

Internship Socket Programming information

See Fremont, CA salary details

$9

$17

$23

How much do internship socket programming jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship socket programming in Fremont, CA is $17.02, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Socket Programming vs Network Engineer?

AspectInternship Socket ProgrammingNetwork Engineer
Required CredentialsBasic programming skills, often pursuing a degree in CS or related fieldNetworking certifications (e.g., CCNA), degree in CS, IT, or related field
Work EnvironmentInternship setting, often in a tech company or development teamCorporate or enterprise network environments, often in IT departments
Industry UsageSoftware development, application programming, embedded systemsIT infrastructure, network management, cybersecurity

Internship Socket Programming focuses on developing networked applications and understanding socket APIs, typically as a learning role. Network Engineers manage and maintain network infrastructure, requiring certifications and experience. While both roles involve networking concepts, internships are entry-level and project-based, whereas Network Engineers handle ongoing network operations.

What are popular job titles related to Internship Socket Programming jobs in Fremont, CA? For Internship Socket Programming jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Internship Socket Programming jobs in Fremont, CA look for? The top searched job categories for Internship Socket Programming jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Internship Socket Programming jobs? Cities near Fremont, CA with the most Internship Socket Programming job openings:
Internship Socket Programming jobs near you
Infographic showing various Internship Socket Programming job openings in Fremont, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $35,393 per year, or $17 per hour.

Machine Learning Engineer - AI Evaluation & LLM Systems

Socket.dev

Cupertino, CA • On-site

$150 - $230/hr

Other

Posted 6 days ago

Job description

DESCRIPTION

As a Machine Learning Engineer, you will build the systems that measure and improve the quality of AI experiences used by millions of people. You will develop machine learning models, evaluation frameworks, and scalable infrastructure that enable teams to understand model behavior, identify regressions, and accelerate the development of large language models and multimodal AI. Working closely with researchers, software engineers, and product teams, you will transform cutting-edge research into production-ready solutions, analyze large-scale datasets, and develop new approaches for benchmarking and improving AI quality. This is a unique opportunity to solve challenging technical problems at the intersection of machine learning, software engineering, and data, while helping shape the future of AI at Apple.


MINIMUM QUALIFICATIONS

MS, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or equivalent practical experience. 1–2 years of industry experience, or equivalent academic or internship experience, developing machine learning or AI solutions. Proficiency in Python and familiarity with C++ or another object-oriented programming language. Experience with one or more machine learning frameworks such as PyTorch, TensorFlow, or JAX. Understanding of machine learning fundamentals, including supervised learning, model evaluation, and statistical analysis. Experience working with data processing, model training, or experimentation through coursework, research, internships, or industry projects. Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively in a team environment.


PREFERRED QUALIFICATIONS

Experience with large language models (LLMs), multimodal AI, or generative AI through internships, research, or personal projects. Experience building software or machine learning projects using modern engineering practices (Git, testing, CI/CD). Familiarity with distributed computing, cloud platforms, or large-scale data processing. Publications, open-source contributions, or participation in machine learning competitions. MS or PhD specializing in Machine Learning, Artificial Intelligence, or a related field.

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