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Computer Science Research Intern Jobs in Berkeley, CA

Voiceflow

Machine Learning Research Scientist

San Mateo, CA · On-site

$100 - $150/hr

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 ...

Perdurable AI

AI Research Scientist

San Francisco, CA · On-site

$120 - $160/hr

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 ...

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Computer Science Research Intern information

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

As of Aug 23, 2026, the average monthly pay for computer science research intern in Berkeley, CA is $7,884.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,408.33 and $9,383.33 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.

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Research Internship - United States

Flexion Robotics

San Francisco, CA

Full-time, Internship

Vision

Re-posted 12 days ago

Job description

About Flexion:

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zurich), and backed by leading international VC firms. In just months, we've gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul -  scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.

The Role:

If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.

You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.

Requirements

Must-haves:

  • Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
  • Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly

Strong working knowledge in:

  • Reinforcement learning
  • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
  • Python and PyTorch, including training neural networks at scale

Knowledge in at least two of the following:

  • Diffusion models
  • Flow matching
  • Dexterous manipulation
  • Sim-to-real transfer and real-to-sim calibration
  • Whole-body control and loco-manipulation
  • Synthetic data generation for robot learning
  • Vision Language Model Fine-Tuning (SFT and RL-based)
  • Transformer-based 3D Scene Understanding

Benefits

  • Competitive compensation package
  • A front-row seat at one of the world's most ambitious robotics companies
  • An energetic, collaborative team with a relentless bias for action
  • The opportunity to build something no one has ever done in this field -  alongside the world's leading researchers

Apply