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Computer Science Phd Research Intern Jobs in Hayward, CA

Simular

PhD Research Intern

Palo Alto, CA · On-site

What you'll do As a PhD intern, you will ... Collaborate with research scientists to advance methods in: * Planning and RL for computer use (e.g ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a ...

Canva

PhD Research Scientist Intern

San Francisco, CA

$157K/yr

Hey, g'day, mabuhay, kia ora, , hallo, vitejte! We're looking for current PhD students ready to ... As a Generative AI Research Scientist Intern at Canva, you'll advance the frontier of agentic AI ...

Canva

PhD Research Scientist Intern

San Francisco, CA · On-site

$157K/yr

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! We're looking for current PhD students ready ... As a Generative AI Research Scientist Intern at Canva, you'll advance the frontier of agentic AI ...

AMD

2027 PhD Research Engineering Intern/Co-op

San Jose, CA · On-site

$19.75 - $25.50/hr

We are seeking a highly motivated Research Engineering intern/co-op to join our team. In this role ... You are currently enrolled in a US based University in a PhD program majoring in Computer Science ...

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Computer Science Phd Research Intern information

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

As of Sep 6, 2026, the average monthly pay for computer science phd research intern in Hayward, CA is $7,382.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,066.67 and $8,791.67 per month, depending on experience, location, and employer.

What does a computer science PhD research intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a computer science PhD research intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What are the key skills and qualifications needed to thrive as a computer science PhD research intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

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Computer Science Phd Research Intern jobs near you

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 7 days ago

Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI

Apply