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Computer Science Research Intern Jobs in Novato, CA

Substrate Inc.

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Research Scientist, AI Location Employment Type Full time Location Type On-site Department ... PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field

Perdurable AI

AI Research Scientist

San Francisco, CA · On-site

PhD or MS in Computer Science, Machine Learning, or related field * 3+ years of experience in deep learning and computer vision research * Strong programming skills in Python and experience with ...

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$50/hr

As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group ... computer science). * Familiarity with SQL for data analysis and Python for programming or modeling.

New

Gallup

Data Science Intern - Summer 2027

San Francisco, CA · On-site

$45 - $50/hr

Enrollment in a bachelor's or graduate degree program in computer science, statistics, data science ... Experience with nonparametric and nonlinear methods through coursework, research or work experience ...

Goodfire

Research Scientist

San Francisco, CA · On-site

Required : • PhD or equivalent experience in ML, computer science, or a quantitative science. • Deep familiarity with large models and a passion for understanding how they work. • Fluency in ...

Intology

Research Scientist

San Francisco, CA · On-site

PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to ...

AccrueTalent

Research Scientist

San Francisco, CA · On-site

$250K - $500K/yr

Research Scientist / Research Engineer -- San Francisco I'm working with an early-stage AI startup ... Computer use / tool use * Evals + benchmarks * Multimodal AI * Human-agent interaction You'll own ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site

$45 - $60/hr

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. * Demonstrated research/software engineering ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. * Demonstrated research/software engineering ...

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All JobsComputer Science Research Intern JobsComputer Science Research Intern Jobs in Novato, CA

Computer Science Research Intern information

See Novato, CA salary details

$2.4K

$7.6K

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

As of Sep 13, 2026, the average monthly pay for computer science research intern in Novato, CA is $7,560.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,183.33 and $9,000.00 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 skills and qualifications are needed to be a computer science research intern?

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.

Which internship is best for a computer science research intern?

The best internship for a computer science research intern typically offers opportunities to work on cutting-edge projects, access to mentorship from experienced researchers, and exposure to relevant tools like programming languages and data analysis software. Prestigious research programs at universities, tech companies, or dedicated research labs are highly valued for gaining practical experience and building a professional network.

What cities near Novato, CA are hiring for Computer Science Research Intern jobs?

Cities near Novato, CA with the most Computer Science Research Intern job openings:

Computer Science Research Intern jobs near you
Infographic showing various Computer Science Research Intern job openings in Novato, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $90,725 per year, or $43.6 per hour.

Research Scientist, AI

San Francisco, CA • On-site

Substrate Inc.
1 - 10 employees
Learn more about Substrate Inc.external

$150K - $275K/yr

Other

Re-posted 28 days ago

Job description

At the intersection of advanced manufacturing and cutting-edge physics, Substrate is developing technologies that will further America's technological leadership and dominance in semiconductor fabrication. We're a team of world‑class scientists, engineers, and technical experts spanning many disciplines.

Research Scientist, AI Location Employment Type

Full time

Location Type

On-site

Department

Scientific

Research Scientist, AI

Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting‑edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world‑class scientists, engineers, and technical experts building technology for the United States.

Summary

As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting‑edge physics and artificial intelligence, and you'll work hands‑on to develop AI‑augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D.

Responsibilities
  • Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows
  • Develop AI‑augmented tools for materials science, device physics, or accelerator physics applications
  • Build internal AI infrastructure and capabilities to enable research teams across the organization
  • Train and mentor scientists and engineers on integrating AI/ML into their research workflows
  • Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems
  • Develop data pipelines and frameworks for scientific machine learning across distributed teams
  • Collaborate with computational physicists and experimentalists to identify high‑impact AI applications
  • Set AI best practices and establish standards for ML‑augmented R&D
Required Qualifications
  • 5+ years professional or academic research experience in physical sciences, engineering, or related field
  • 2-3+ years hands‑on experience applying machine learning to scientific or technical problems
  • Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
  • Deep understanding of scientific computing, numerical methods, and computational modeling
  • Proven ability to translate scientific problems into machine learning approaches
  • Experience building tools, infrastructure, or capabilities used by technical teams
Preferred Qualifications
  • PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field
  • Publications applying ML to scientific computing, simulation, or experimental data analysis
  • Experience with physics‑informed machine learning or scientific foundation models
  • Background in accelerator physics, semiconductor devices, materials modeling, or related domains
  • Track record of enabling technical teams through tool development or mentorship
Salary Range

$150,000-$275,000 USD

Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.

Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know.

Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.

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