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AI/ML Engineer Spring Co-op

IBM

San Jose, CAFull-timeSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
San Jose, CA
Role Type
Co-op
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

IBM seeks an AI/ML Engineer Co‑op for a 16‑week, full‑time role in the Silicon Valley Lab, collaborating with product teams to develop and integrate large language model capabilities, manage data for training and evaluation, and establish AI/ML best practices.

Skills & qualifications

RequiredNice to have

Skills

PythonJavaSQLReactNode.jsGitCloud ComputingContainersMLOpsData StructuresAlgorithmsDebuggingAnalytical ThinkingProblem‑SolvingCommunicationAgile DevelopmentREST APIsRelational DatabasesNoSQL DatabasesCI/CD Pipelines

Qualifications

Bachelor's Degree ProgramActive Enrollment RequiredFull‑Time Availability 40 Hours/WeekAvailability to Start Between Dec 2027 and Aug 2028

Full job description

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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