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AI/ML Engineer Spring Co-op

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
For current studentsMust be actively enrolled in a Bachelor’s degree program at the time of application and returning to complete the degree after the co-op

What you’ll work on

Full posting
  • Collect and manage data for LLM evaluation and training

  • Integrate LLM technologies into existing and new products

  • Establish best practices for AI/ML feature implementation with product teams

From the employer’s posting
You will lead efforts in data collection for LLM training and evaluation
integrate LLM technologies into existing and new products
establish best practices for AI/ML feature implementation with product teams

What you’ll bring

All qualifications

Core experience

  • Actively enrolled in a Bachelor's degree program, returning after the co-op
  • Available full-time (40 hours/week) for 16 weeks, Jan 19 - May 7
  • Knowledge of NLP and large language models, including transformer architectures
  • Coursework or project experience in software development
Qualification wording
Must be actively enrolled in a Bachelor’s degree program at the time of application and returning to complete the degree after the co-op.
Available to work full-time (40 hours/week) at an IBM location for 16 weeks between Jan 19 - May 7.
Demonstrated knowledge of NLP and large language models (e.g., transformer architectures)
Coursework or project experience in software development using any programming language.
Education & alternatives
**Required technical and professional expertise** • Must be actively enrolled in a Bachelor’s degree program at the time of application and returning to complete the degree after the co-op. • Available to start full-time between December 2027 and August 2028.
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Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20263 days ago
Recorded sightings
2
Last seen by us
Nov 2, 2026
Employer says posted
Oct 3, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

IBM is hiring

272 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • NoSQL
  • React
  • Node.js
Where the posting names them
• Familiarity with fundamental concepts such as data structures, basic algorithms, or debugging. • Exposure to front-end or back-end technologies (React, Node.js, Python, Java, SQL, etc.). • Experience using Git or similar version control tools.
Preferred Professional and Technical Expertise: • Experience with cloud services (IBM Cloud, AWS, Azure, or GCP). • Familiarity with REST APIs and databases (relational or NoSQL).
• Experience with cloud services (IBM Cloud, AWS, Azure, or GCP). • Familiarity with REST APIs and databases (relational or NoSQL). • Exposure to CI/CD pipelines or automation tools.

Your next step

Complete your application on www.ibm.com. The employer’s form will show what is required.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

**Introduction** This is a 16‑week Co‑Op position designed for actively enrolled undergraduate. To be eligible, candidates must be currently enrolled at an accredited university and able to pause their coursework for the duration of the Co‑Op, as students may not be enrolled in classes while participating. This role requires full‑time availability (40 hours per week) during the Spring 2027 semester between Jan 19 - May 7. Eligible candidates should also be available to join IBM in a full‑time role between December 2027 and August 2028 upon successful completion of their degree. **Your role and responsibilities** IBM Automation and AI group is seeking an AI/ML Engineer intern specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio. You will lead efforts in data collection for LLM training and evaluation, integrate LLM technologies into existing and new products, and establish best practices for AI/ML feature implementation with product teams. What You’ll Do • Data Collection and Management for LLM Evaluation and Training LLM Integration and ImplementationAI/ML Best Practices and Innovation • Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design Experience with data processing pipelines and working with large datasets • Knowledge of MLOps practices and tools for model deployment and monitoring Location Flexibility: By applying to this requisition, you acknowledge and agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned. **Required technical and professional expertise** • Must be actively enrolled in a Bachelor’s degree program at the time of application and returning to complete the degree after the co-op. • Available to start full-time between December 2027 and August 2028. • Available to work full-time (40 hours/week) at an IBM location for 16 weeks between Jan 19 - May 7. • Co-op requires a full-time commitment; students should not be enrolled in concurrent coursework during the co-op term (Guidelines — transferable skills are encouraged) • Coursework or project experience in software development using any programming language. • Familiarity with fundamental concepts such as data structures, basic algorithms, or debugging. • Exposure to front-end or back-end technologies (React, Node.js, Python, Java, SQL, etc.). • Experience using Git or similar version control tools. • Interest in cloud computing, containers, or modern deployment practices. • Strong analytical thinking, problem‑solving, and communication skills. • Ability to collaborate and learn quickly in a team environment. **Preferred technical and professional experience** Preferred Professional and Technical Expertise: • Experience with cloud services (IBM Cloud, AWS, Azure, or GCP). • Familiarity with REST APIs and databases (relational or NoSQL). • Exposure to CI/CD pipelines or automation tools. • Personal or open-source projects that demonstrate creativity and initiative. • Understanding of Agile development methods. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Location & working pattern

San Jose, CA

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Work authorization
• Understanding of Agile development methods. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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