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AI/ML Engineer Spring Co-op

San Jose, CA

Pay
Pay not listedSimilar roles state $165K–$239K
Work setting
Not stated
Employment
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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.

Tools in this posting

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • NoSQL
  • React
  • Node.js
Source — Tool mentions in context
• 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.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 2026 · 1 day 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.

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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.
Source details

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Pay

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Location & working pattern

San Jose, CA

Working pattern and location restrictions need checking in the full posting.

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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