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Ibm Summer Intern Jobs (NOW HIRING)

Ibm Summer Intern information

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$8

$17

$24

How much do ibm summer intern jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for ibm summer intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an IBM Summer Intern?

An IBM Summer Intern is a student or recent graduate who participates in a temporary internship program at IBM, typically during the summer months. Interns work on real projects alongside experienced professionals in areas such as technology, business, engineering, and more. The program is designed to provide hands-on experience, skill development, and networking opportunities within IBM. Interns often contribute to meaningful projects, attend workshops, and receive mentorship. Successful internships can sometimes lead to full-time job offers after graduation.

What are the key skills and qualifications needed to thrive as an IBM Summer Intern, and why are they important?

To thrive as an IBM Summer Intern, you typically need a strong academic background in a relevant field such as computer science, engineering, or business, along with foundational knowledge in programming, analytics, or project management. Familiarity with IBM tools like Watson, cloud computing platforms, and collaboration software is advantageous, and some roles may prefer candidates with certifications in areas like AI or cloud technologies. Strong communication, teamwork, and a proactive attitude help interns contribute effectively to projects and adapt to IBM’s dynamic environment. These skills and qualities are crucial for making a meaningful impact during the internship and positioning yourself for future career opportunities.

What types of projects and responsibilities can IBM Summer Interns expect to work on during their internship?

IBM Summer Interns often participate in real-world projects that align with their area of study, such as software development, data analysis, or business consulting. Interns typically collaborate with experienced professionals and other interns in cross-functional teams, contributing to meaningful assignments that may include coding, conducting research, or supporting client projects. The work environment emphasizes learning and mentorship, offering regular feedback and opportunities to present your work. Interns are encouraged to take initiative, ask questions, and network with experts across the company, which can help pave the way for future full-time opportunities.

What is the difference between Ibm Summer Intern vs Data Analyst Intern?

AspectIbm Summer InternData Analyst Intern
Required CredentialsTypically enrolled in a related bachelor's or master's programEnrolled in a data science, statistics, or related program
Work EnvironmentCorporate office, collaborative team settingsOffice or remote, focused on data projects
Employer & Industry UsageIBM's technology and consulting sectorsVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

The Ibm Summer Intern program offers students exposure to IBM's technology projects, emphasizing software, hardware, and consulting. Data Analyst Interns focus specifically on analyzing data sets, creating reports, and supporting data-driven decision-making. While both roles require related academic backgrounds and involve working with data and technology, the Ibm Summer Intern role provides broader industry exposure within IBM, whereas Data Analyst Interns concentrate on data analysis tasks across various sectors.

What cities are hiring for Ibm Summer Intern jobs? Cities with the most Ibm Summer Intern job openings:
Infographic showing various Ibm Summer Intern job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 36% Full Time, 62% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Computer Vision PhD Intern (Summer 2026)

Reality Defender

New York, NY • Remote

$5K - $7K/mo

Full-time

Posted 14 days ago


Job description

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Computer Vision Internship.

This 3-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to generate cutting-edge research and publish peer-reviewed papers. Your primary collaborator will be Jacob Seidman, who will guide and advise your efforts within deepfake image and video detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.

What you'll do.
  • Investigate new methods for generative image/video detection.

  • Collaborate with researchers in the team.

  • Perform research of deepfake image/video detection.

  • Write up results of research for internal reports and submission to academic journals/workshops.

  • Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.

Who you are.
  • PhD student in a relevant technical field.

  • Experience in computer vision.

  • Proficient in Python and in building deep learning models with PyTorch.

  • Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS.

  • Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated media detection platform.

  • Available to start a research project in Summer of 2026.