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Phd Research Intern Jobs (NOW HIRING)

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. behavioral cloning, RL on model weights, RAG-based ...

Samaya AI

ML Research Intern

Mountain View, CA

This role is ideal for a PhD or advanced Master's student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya's key ...

Profluent

Research Intern, Computational

Emeryville, CA · Hybrid

$1K/wk

Research Intern, Computational Profluent is an AI-first protein design company. Founded in 2022, we ... Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science ...

eNett

OR · On-site

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world problems. You are a highly motivated researcher with a passion for applying cutting-edge AI ...

Fujitsu

Research Intern

Santa Clara, CA · On-site +1

Research Intern Job Location: Santa Clara, California Location Flexibility: Multiple Locations in ... Requirements • Currently enrolled in a PhD program in a relevant area such as computer science ...

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How much do phd research intern jobs pay per month?

As of Jun 9, 2026, the average monthly pay for phd research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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

To thrive as a PhD Research Intern, you need advanced research skills, strong analytical abilities, and enrollment in a relevant doctoral program. Familiarity with data analysis tools (such as Python, R, or MATLAB), academic databases, and possibly experience with laboratory or computational systems is often required. Critical thinking, effective communication, and collaboration are important soft skills that help interns excel in team-based and independent research settings. These skills and qualifications ensure successful contribution to ongoing projects, efficient problem-solving, and impactful dissemination of research findings.

What is the difference between Phd Research Intern vs Research Scientist?

AspectPhd Research InternResearch Scientist
Required CredentialsPhD candidate or recent PhD graduateTypically PhD holder with several years of experience
Work EnvironmentAcademic labs, research institutions, or corporate R&DIndustry labs, corporate R&D departments, or academic settings
Employer & Industry UsageUniversities, research institutes, tech companiesTech firms, pharmaceutical companies, research organizations
Common Search & ComparisonYesYes

The main difference between a Phd Research Intern and a Research Scientist lies in experience and responsibilities. Phd Research Interns are typically pursuing or have recently completed their PhD and focus on gaining research experience, often in academic or corporate labs. Research Scientists usually have more experience, hold a PhD, and lead research projects within industry or research organizations. Both roles involve research activities, but the level of independence and scope of work differ significantly.

What are some common challenges faced by PhD Research Interns, and how can they be addressed?

PhD Research Interns often encounter challenges such as adjusting to new research environments, managing time effectively between internship tasks and ongoing academic commitments, and navigating complex, interdisciplinary projects. Adapting quickly to a new team and understanding the expectations of academic or industry mentors can also be demanding. To address these, interns should proactively communicate with supervisors, set clear goals, seek feedback regularly, and collaborate closely with team members to leverage their expertise and resources.

What is a PhD Research Intern?

A PhD Research Intern is a graduate student, typically enrolled in a doctoral program, who temporarily joins a research organization, university lab, or company to work on specialized research projects. These internships allow students to apply their academic knowledge to real-world problems, gain hands-on experience, and collaborate with experienced researchers. PhD Research Interns often contribute to publications, presentations, and innovative solutions within their field, while also expanding their professional network and career opportunities. Internships can vary in length and may be paid or unpaid, depending on the institution and funding.
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Phd Research Intern jobs near you

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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