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Computer Science Research Intern Jobs in Sunnyvale, CA

R&D Intern

Fremont, CA · On-site

$40 - $45/hr

The intern will collaborate closely with scientists, engineers, and technical leadership to support the development of high-performance lithium-ion cells. Key Responsibilities The intern will ...

The intern will collaborate closely with scientists, engineers, and technical leadership to support the development of high-performance lithium-ion cells. Key Responsibilities The intern will ...

R&D Intern

Fremont, CA · On-site

$40 - $45/hr

The intern will collaborate closely with scientists, engineers, and technical leadership to support the development of high-performance lithium-ion cells. Key Responsibilities The intern will ...

Showing results 21-40

Computer Science Research Intern information

See Sunnyvale, CA salary details

$2.4K

$7.6K

$9.1K

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

As of Aug 13, 2026, the average monthly pay for computer science research intern in Sunnyvale, CA is $7,557.75, 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.
What are the most commonly searched types of Computer Science Research jobs in Sunnyvale, CA? The most popular types of Computer Science Research jobs in Sunnyvale, CA are:
What are popular job titles related to Computer Science Research Intern jobs in Sunnyvale, CA? For Computer Science Research Intern jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Research Intern jobs in Sunnyvale, CA look for? The top searched job categories for Computer Science Research Intern jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Computer Science Research Intern jobs? Cities near Sunnyvale, CA with the most Computer Science Research Intern job openings:
Infographic showing various Computer Science Research Intern job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $90,693 per year, or $43.6 per hour.

Research Intern - Video World Models (Research & ML Systems)

Tencent

Palo Alto, CA • On-site

$80K - $124K/yr

Other

Medical

Posted 28 days ago


Job description

Business Unit
What the Role Entails
About the Position
We are seeking an exceptional Research Intern to join our core team in building the next generation of interactive Video World Models. While traditional generative AI focuses on generating passive pixels (e.g., text-to-video), our mission is fundamentally more ambitious: we are building foundational "World Models" that inherently understand physics, causality, action spaces, and complex dynamics directly from internet-scale data. Our goal is to train models that can simulate and "dream" complex virtual worlds, allowing users and agents to explore and interact with them in real time.
This is not a purely theoretical role.
Training interactive world models at this scale requires pushing the limits of modern computing power. We operate at the intersection of cutting-edge generative AI research and high-performance machine learning systems. We are looking for "full-stack" hacker-researchers-visionary thinkers who are also elite engineers, capable of co-designing novel neural architectures and engineering the highly optimized infrastructure required to train them across large-scale computing cluster.
What You Will Do
  • Architect & Scale Foundation Models: Design, train, and scale state-of-the-art interactive world models (combining Diffusion, Autoregressive Transformers, VAEs, LLMs, VLMs) on massive video datasets.
  • Push the Boundaries of ML Systems: Architect highly scalable distributed training pipelines, utilizing advanced model and data parallelism to train massive models efficiently on large-scale computing cluters.
  • Optimize for Efficiency: Profile and optimize model architectures to break through memory and compute bottlenecks. Write high-performance, custom hardware kernels to maximize Model FLOPs Utilization (MFU) and enable real-time, low-latency inference.
Who We Look For
Requirements
  • Academic Excellence: Currently pursuing a PhD (or Master's degree with a truly exceptional research/engineering track record) in Computer Science, Machine Learning, Computer Architecture, or a related field.
  • Engineering Skills: Exceptional, production-level coding proficiency in Python or other languages. Background in competitive programming is a great plus.
  • AI Infrastructure & Scaling: Experience with modern AI infrastructure stack and large-scale machine learning systems, such as PyTorch FSDP, Megatron, etc. Experience with GPU kernels using CUDA and/or Triton is a great plus.
  • Deep Generative Expertise: Thorough theoretical and practical understanding of modern generative paradigms (Diffusion, Vision Transformers, Autoregressive sequence modeling, discrete tokenization/VAEs).
  • Top-Tier Publication Record: First-author publications in top-tier AI venues (NeurIPS, ICLR, ICML, CVPR, ICCV) OR premier ML Systems venues (MLSys, OSDI, ASPLOS).

Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.