The internship focuses on some of the most important areas shaping artificial intelligence today, including large language models, Transformers, generative AI, multimodal models, reinforcement learning, model fine-tuning, inference, Python and scalable AI infrastructure.
The position is available across Yorktown Heights, New York; Cambridge, Massachusetts; and San Jose, California. IBM classifies the role as onsite, with no travel required.
IBM lists a projected annualized full-time compensation range of $83,160 to $166,320, while explaining that actual compensation varies according to skills, experience, location, employment classification and hours worked.
IBM AI Foundations Research Internship 2027 Overview
| Detail | Information |
|---|---|
| Company | IBM |
| Business Unit | IBM Research |
| Position | AI Foundations – Software Engineer – Research Internship 2027 |
| Job ID | 131307 |
| Opportunity Type | Research Internship |
| Area | Software Engineering |
| Country | United States |
| Locations | Yorktown Heights, San Jose, Cambridge |
| States | New York, California, Massachusetts |
| Work Arrangement | Onsite |
| Contract | Internship |
| Employment Classification | Co-Op (Fixed Term) |
| Posted | September 2, 2026 |
| Projected Minimum Salary | $83,160/year |
| Projected Maximum Salary | $166,320/year |
| Travel | None |
| Shift | General / Daytime |
| Required Education Listed | High School Diploma/GED |
| Main Programming Language | Python |
| AI Knowledge | Transformers and LLMs |
| Preferred ML Framework | PyTorch |
| Generative AI | Preferred experience |
| Multimodal Models | Preferred experience |
| Universal Visa Sponsorship | Not stated |
| Remote Work | No — role listed as onsite |
What Is the IBM AI Foundations Research Internship?
This is a research-focused software-engineering internship within the AI Foundations Research team at IBM Research.
IBM says the team works on end-to-end AI research designed to create real-world impact through responsible and open innovation.
The team is also behind IBM’s Granite open-source models.
Its research spans areas including:
- Vision
- Speech
- Language
- Code
- Multilingual AI
- Data quality
- Data generation
- Novel model architectures
- Training methods
- AI governance
- Trustworthiness
- Programming models for interacting with AI models
Opportunities Feed Insight
This is considerably more specialized than a general software-engineering internship.
Candidates are entering an environment combining:
AI research + software engineering + large-scale systems + generative AI.
That makes it particularly attractive to students who already have programming experience and want to move deeper into AI engineering or research.
What Will IBM AI Interns Work On?
Interns participate in the full AI research lifecycle.
IBM says responsibilities include:
- Identifying core research challenges
- Designing prototype solutions
- Validating ideas through experimentation
- Building scalable AI research infrastructure
- Turning algorithms into reusable code
- Working with modern distributed frameworks
- Collaborating with expert-led research teams
- Contributing to open innovation
Projects can move from concept through experimentation and eventually into high-performance implementations.
Work on Large Language Models
Large language models are directly relevant to this internship.
IBM requires familiarity with modern AI concepts including:
Transformer architectures and Large Language Models (LLMs).
Hands-on class or project experience is described as a plus.
Opportunities Feed Insight
Students who have already built an LLM application should make that work highly visible on their CV.
Strong examples could include:
- Retrieval-augmented generation
- LLM evaluation
- Fine-tuning experiments
- AI agents
- NLP applications
- Model inference projects
- Open-source LLM applications
provided these genuinely reflect the candidate’s work.
Generative AI Research
The research environment goes beyond standard LLM application development.
IBM says interns may explore research areas including:
- New training algorithms
- Fine-tuning
- Reinforcement learning
- Inference-time scaling
- Generative computing
- Generative programming
across language, code and other modalities.
Opportunities Feed Insight
That makes this opportunity particularly relevant to candidates who want to understand how advanced AI systems are developed rather than simply how existing APIs are used.
Multimodal AI
IBM’s AI Foundations work includes multimodal systems spanning:
vision + speech + language + code.
Preferred experience also includes hands-on work with multimodal models.
Candidates with computer-vision, speech, NLP or multimodal projects should therefore consider highlighting them.
Python Is an Important Requirement
IBM specifically asks for experience with:
Python for software development, scripting or prototyping.
Opportunities Feed Advice
Do not simply list “Python” under Skills.
Show how you have used it.
For example:
Developed a Python-based LLM evaluation pipeline to compare model responses across multiple benchmarks.
That provides more evidence than a generic programming-language list.
Is PyTorch Required?
IBM lists expertise in PyTorch under preferred rather than required experience.
Preferred candidates may also have experience with full-cycle development of machine-learning algorithms and systems.
Opportunities Feed Insight
A candidate without advanced PyTorch experience should not automatically assume they are ineligible because IBM separates required and preferred qualifications.
However, learning PyTorch before interviews could strengthen an AI-focused application.
What Technical Skills Does IBM Require?
IBM lists several important requirements.
Foundational Machine-Learning Knowledge
Candidates should understand modern AI concepts, particularly:
- Transformers
- Large language models
Hands-on coursework or project experience is considered beneficial.
Python
Applicants should have Python experience for:
- Software development
- Scripting
- Prototyping
Analytical Problem Solving
IBM wants candidates with strong analytical and quantitative abilities who can break complex problems into manageable components.
Communication
Candidates should be able to explain technical ideas clearly and collaborate effectively.
Learning Mindset
Applicants should have a strong interest in AI research and a commitment to producing high-quality, well-tested code.
What Experience Does IBM Prefer?
Preferred experience includes:
- PyTorch
- Machine-learning frameworks
- Full-cycle algorithm development
- Full-cycle systems development
- Generative AI
- LLMs
- Multimodal models
- Technical research communication
- Building technical demonstrations
What Education Does IBM Require?
One of the most interesting details in this posting is the education field.
IBM lists:
Required Education: High School Diploma/GED
and:
Preferred Education: High School Diploma/GED.
Opportunities Feed Clarification
This is what the specific IBM job listing states.
It should not be rewritten as:
“No education required.”
A High School Diploma/GED is still an education requirement.
It also should not automatically be interpreted to mean that academic status or other eligibility conditions can never arise elsewhere in IBM’s application process.
Candidates should answer all application questions accurately.
Where Is the Internship Located?
IBM lists three U.S. locations:
- Yorktown Heights, New York
- Cambridge, Massachusetts
- San Jose, California
These locations place interns near several important U.S. technology and research hubs.
Is the IBM AI Internship Remote?
No.
IBM lists the work arrangement as:
Onsite.
Opportunities Feed Warning
Do not advertise this particular vacancy as:
“IBM Remote AI Internship 2027.”
The official listing specifically says onsite.
Is Travel Required?
No.
IBM lists:
Travel Required: No Travel.
What Is the Work Schedule?
The listing identifies the shift as:
General (daytime).
How Much Does the IBM AI Research Internship Pay?
IBM provides a projected salary range of:
Minimum: $83,160 per year
Maximum: $166,320 per year.
However, this needs to be interpreted carefully.
IBM explains that the compensation and benefits shown are based on a full-time schedule for a full calendar year. Actual salary varies depending on job-related skills, experience and location, while part-time compensation and benefits are adjusted according to hours.
Opportunities Feed Clarification
Therefore, do not claim:
“Every IBM intern will receive $166,320.”
The figure is the projected maximum annualized full-time compensation shown for the position, not a guaranteed internship payout.
Could This Be More Than $6,900 Per Month?
If the minimum annualized figure of $83,160 were divided by 12, it would equal approximately $6,930 per month.
The maximum annualized figure of $166,320 divided by 12 would equal approximately $13,860 per month.
Opportunities Feed Clarification
These are mathematical annual-to-month conversions, not monthly compensation figures published by IBM.
Actual internship earnings depend on the internship’s duration, work schedule, employment classification, location and applicable pay arrangements.
What Benefits May Be Available?
IBM states that Supplemental 1 employees may be eligible for:
- Up to 8 paid holidays
- Minimum 56 hours paid sick time
- IBM Employee Stock Purchase Plan
The company also mentions paid family medical leave and disability benefits for eligible employees where required by applicable law.
Opportunities Feed Clarification
Eligibility matters.
The posting does not state that every intern automatically receives every listed benefit.
Is Visa Sponsorship Available?
The supplied posting does not state that this internship provides visa sponsorship.
IBM says it complies with fair-employment practices concerning citizenship and immigration status, but that statement is not the same as an offer of immigration sponsorship.
Opportunities Feed Warning
Do not advertise this vacancy as:
“IBM AI Internship With Visa Sponsorship.”
The supplied source does not support that claim.
Can International Students Apply?
The posting does not provide enough information to claim universal eligibility for international students.
Candidates who require U.S. employment authorization or sponsorship should check the application questions and IBM’s current immigration requirements.
Opportunities Feed Insight
Being an equal-opportunity employer and complying with immigration law does not automatically mean that every role sponsors visas.
When Was the Internship Posted?
IBM lists the posting date as:
September 2, 2026.
What Is the Application Deadline?
IBM does not provide a fixed calendar closing date in the supplied posting.
Instead, it states that the position is anticipated to remain posted for:
15 days from the posting date or less if no longer needed to fill the role.
Because the posting date is September 2, 2026, 15 days later would be approximately September 17, 2026.
Opportunities Feed Warning
September 17 should be treated as an estimated latest posting window based on IBM’s 15-day statement, not a guaranteed official deadline.
The position could close earlier.
Why You Should Apply Early
IBM explicitly says the vacancy may remain available for 15 days or less.
That makes early application particularly important.
Candidates who wait until the estimated end of the posting window risk finding the vacancy closed.
How Competitive Is This Internship?
IBM does not publish the number of positions or applicants for this vacancy.
Therefore, no acceptance rate can be calculated from the source.
However, the role targets advanced AI areas and lists technical preferences including PyTorch, generative AI, LLMs and multimodal models.
Opportunities Feed Assessment
Candidates should approach this as a technically demanding research opportunity and submit evidence of their ability rather than relying only on academic credentials.
How to Build a Strong Application
A strong application should demonstrate three things:
you understand AI → you can build software → you can investigate difficult problems.
Your CV should prioritize relevant evidence such as:
- Python projects
- Machine-learning systems
- LLM projects
- PyTorch
- Transformer implementations
- Research projects
- Multimodal AI
- Open-source contributions
- Distributed systems
- AI infrastructure
What Projects Could Strengthen Your Application?
Relevant portfolio projects could include:
- Training a small Transformer
- Fine-tuning an open-source LLM
- Building an LLM evaluation pipeline
- Creating a multimodal application
- Implementing a reinforcement-learning experiment
- Building scalable inference infrastructure
- Developing a PyTorch research prototype
Opportunities Feed Advice
Quality matters more than filling GitHub with dozens of tutorials.
For each major project, explain:
research question → approach → architecture → experiment → results → limitations → what you learned.
Should You Mention IBM Granite?
Yes, if you have genuinely worked with it.
IBM states that the AI Foundations team is behind its Granite open-source models.
Candidates could familiarize themselves with the team’s research before interviewing.
However, do not claim Granite experience unless you have actually used the models.
Documents You May Need
The posting does not provide a universal document checklist beyond the online application.
Candidates should be prepared with:
- Updated resume or CV
- Education information
- Relevant technical experience
- Project information
- Contact details
and any additional information requested through IBM’s application portal.
How to Apply
Applications are submitted through the official IBM Careers system.
The vacancy is:
AI Foundations – Software Engineer – Research Internship 2027
Job ID: 131307.
The strongest application process is:
review requirements → update your technical CV → highlight Python and LLM projects → demonstrate PyTorch/generative AI experience where applicable → prepare project explanations → apply through IBM Careers as early as possible.
Common Application Mistakes to Avoid
Avoid:
- Calling the role remote
- Claiming guaranteed visa sponsorship
- Saying every intern earns $166,320
- Treating the annualized salary range as guaranteed internship earnings
- Waiting until the estimated end of the posting window
- Applying without demonstrating Python experience
- Listing LLMs without showing a project
- Ignoring communication and collaboration skills
- Treating preferred PyTorch experience as an absolute required qualification
- Claiming no education requirement when IBM lists High School Diploma/GED
- Submitting a generic software-engineering CV without highlighting AI work
Frequently Asked Questions
What is the IBM AI Foundations Research Internship 2027?
It is an AI software-engineering research internship within IBM Research focused on advanced artificial-intelligence research and engineering.
Where is the internship?
IBM lists Yorktown Heights, New York; Cambridge, Massachusetts; and San Jose, California.
Is the internship remote?
No. The listing says onsite.
What programming language is required?
IBM specifically asks for experience with Python.
Do I need LLM knowledge?
IBM asks for familiarity with modern AI concepts including Transformers and Large Language Models.
Is PyTorch required?
PyTorch is listed under preferred technical experience rather than the core required section.
Does IBM want generative AI experience?
Hands-on experience with generative AI and LLMs is listed as preferred.
Are multimodal models relevant?
Yes. IBM identifies multimodal-model experience as preferred, while the AI Foundations team’s research covers vision, speech, language and code.
What education is required?
The listing states High School Diploma/GED under required education.
What is the salary range?
IBM lists a projected annualized range of $83,160–$166,320.
Does every intern earn that amount?
No. IBM says the displayed compensation is based on a full-time schedule for a full calendar year and varies by skills, experience, location and employment arrangements.
When was the role posted?
September 2, 2026.
When does it close?
IBM says it anticipates keeping the role posted for 15 days from its posting date or less if the position no longer needs to be filled.
Is visa sponsorship guaranteed?
No visa-sponsorship commitment is stated in the supplied posting.
Is travel required?
No. IBM lists No Travel.
What is the Job ID?
131307.
Opportunities Feed Verdict
The IBM AI Foundations – Software Engineer – Research Internship 2027 stands out as a highly technical U.S. internship for candidates interested in working where AI research and production-quality software engineering intersect.
IBM Research’s AI Foundations team works across multimodal AI, multilingual systems, data, model architectures, training, governance, trustworthiness and generative computing, and it is the team behind IBM’s Granite open-source models.
Candidates need familiarity with Transformers and LLMs, Python programming, analytical problem-solving, communication skills and an interest in producing high-quality code. IBM additionally prefers experience with PyTorch, generative AI and multimodal models.
The opportunity is onsite in Yorktown Heights, Cambridge or San Jose, and IBM lists a projected annualized full-time compensation range of $83,160 to $166,320.
The role was posted on September 2, 2026, and IBM says it is anticipated to remain posted for 15 days or less, making early application important.
For a competitive application, focus on:
Python + Transformers + LLMs + strong software engineering + AI projects + PyTorch where possible + experimental thinking + clear communication.
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