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Computer Science Research Intern Jobs in San Rafael, CA

About the Role As a Research Intern , you will contribute to building the computational ... About You * Currently pursuing or recently completed a degree in Computer Science, Software ...

EDF's Healthy Communities team is working with communities, scientists, economists, governments and ... Overall Function The intern will contribute research, writing, and analytical support to ongoing ...

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Computer Science Research Intern information

See San Rafael, CA salary details

$2.3K

$7.2K

$8.7K

How much do computer science research intern jobs pay per month?

As of Jul 31, 2026, the average monthly pay for computer science research intern in San Rafael, CA is $7,178.17, according to ZipRecruiter salary data. Most workers in this role earn between $4,925.00 and $8,550.00 per month, depending on experience, location, and employer.

What does a Computer Science Research Intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What are the typical responsibilities of a Computer Science Research Intern during a project cycle?

As a Computer Science Research Intern, you’ll often be involved in conducting literature reviews, designing and implementing experiments, collecting and analyzing data, and presenting your findings to the research team. Interns frequently collaborate with senior researchers and other interns, participate in regular meetings, and may contribute to academic papers or technical documentation. This hands-on role provides valuable exposure to the research process in a professional setting, helping you build both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Computer Science Research Intern, and why are they important?

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.
What job categories do people searching Computer Science Research Intern jobs in San Rafael, CA look for? The top searched job categories for Computer Science Research Intern jobs in San Rafael, CA are:
What cities near San Rafael, CA are hiring for Computer Science Research Intern jobs? Cities near San Rafael, CA with the most Computer Science Research Intern job openings:
Infographic showing various Computer Science Research Intern job openings in San Rafael, CA as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 33% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $86,138 per year, or $41.4 per hour.

Research Intern (Fall)

Alljoined

San Francisco, CA • On-site

$30/hr

Full-time

Re-posted 10 days ago


Job description

About Alljoined
Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.
We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.
About the Role
As a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.
About You
  • Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field
  • Strong programming skills in Python with ability to quickly learn new frameworks
  • Solid understanding of algorithms and data structures
  • Problem-solving mindset with attention to detail in experimental work
  • Ability to work collaboratively in a fast-paced research environment
  • Enthusiasm for learning about neuroscience and brain-computer interfaces

Responsibilities
  • Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires
  • Develop performant, distributed pipelines and algorithms for EEG data processing and analysis
  • Perform rigorous quality checks and preprocessing to ensure data integrity
  • Experiment with different parameters to optimize EEG data collection and analysis conditions
  • Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects
  • Maintain thorough documentation of experiments, procedures, and results

Required Skills
  • Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch
  • Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving
  • Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required

Nice to Have
  • Experience with deep learning frameworks and techniques
  • Knowledge of signal processing for data preprocessing and analysis
  • Familiarity with EEG or other neuroimaging modalities
  • Previous research or project experience in experimental design

Compensation & Benefits
  • $30/hour USD
  • Corporate housing provided
  • Potential for full-time conversion based on performance