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Phd Student Internship Jobs (NOW HIRING)

Young Investigator, FlexOlmo

Berkeley, CA · On-site

$57K - $57K/yr

... PhD students/interns, predoctoral students/interns) as well as opportunities to receive mentorship in academic activities such as grant writing and teaching, if desired. Qualifications : Required ...

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Phd Student Internship information

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$11

$19

$29

How much do phd student internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for phd student internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a PhD student internship?

A PhD student internship is a temporary work placement that allows doctoral students to gain practical experience in industry, government, or non-academic research settings. These internships typically complement a student’s academic research by providing opportunities to apply their skills, learn new methodologies, and build professional networks. Internships can vary in duration and are often completed during the summer or as part of a research collaboration. They are valuable for career development and can help PhD students explore potential career paths beyond academia.

What are some common challenges PhD students face during internships, and how can they address them?

PhD student interns often encounter challenges such as adapting to a faster-paced, results-driven environment compared to academia, learning unfamiliar industry tools or processes, and aligning their research skills with practical business goals. To address these, it's helpful to proactively communicate with mentors, seek regular feedback, and be open to learning new methods. Building strong relationships with team members and staying flexible can greatly enhance both the learning experience and the overall impact of the internship.

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

To thrive as a PhD Student Intern, you need a solid academic background in your field, strong research skills, and progress toward a doctoral degree. Familiarity with data analysis tools, laboratory techniques, or specialized software relevant to your discipline is typically required. Strong problem-solving ability, effective communication, and adaptability help you collaborate with teams and convey complex ideas. These skills ensure you can contribute meaningfully to research projects while gaining valuable professional experience.

What is the difference between Phd Student Internship vs Research Assistant?

AspectPhd Student InternshipResearch Assistant
Required CredentialsEnrolled PhD student or equivalentTypically a graduate degree or current student in related field
Work EnvironmentAcademic or research institutions, labsUniversities, research centers, labs
Employer & Industry UsageUniversities, research organizations, industry R&DUniversities, government agencies, private sector
Common Search & Comparison IntentUnderstanding internship opportunities for PhD studentsLooking for research support roles in academia or industry

Phd Student Internships are typically short-term opportunities designed for enrolled PhD students to gain practical experience, often in academic or industry settings. Research Assistants usually hold a graduate degree or are current students supporting research projects. While both roles involve research activities, internships focus on training and exposure, whereas research assistant positions are more integrated into ongoing research work.

What cities are hiring for Phd Student Internship jobs?

Cities with the most Phd Student Internship job openings:

What are the most commonly searched types of Phd Student jobs?

The most popular types of Phd Student jobs are:

What states have the most Phd Student Internship jobs?

States with the most job openings for Phd Student Internship jobs include:

Infographic showing various Phd Student Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 59% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA

Temporary

Re-posted 5 hours ago


Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA. 

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!