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IIBM

AI Foundations - Research Co-Op

United StatesListed 3h ago

  • Hybrid, On-site
  • Co-op
  • BS
  • MS
  • PhD

About this role

At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society.    Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world. Conduct cutting-edge research and algorithm development in the areas of computational biology and machine learning, including but not limited to:  Developing algorithms and techniques for predicting the effect of mutations on binding interactions Prototype, implement, and evaluate models using modern machine learning frameworks  Contribute to research publications, technical reports and project deliverables  • Exposure to Back-End Development: Experience working with back-end development technologies, designing, developing, testing, and delivering offerings using leading-edge and/or proven technologies. • Component-Level Solution Development: Exposure to designing, coding, and testing innovative component-level software solutions, ensuring unit testing and readiness for integration into products. • CI/CD Pipeline Contribution: Experience working with automated CI/CD pipelines, contributing to code quality stages, and ensuring seamless integration and delivery. • Debugging and Problem-Solving: Exposure to debugging customer-reported problems, designing, developing, and unit testing code fixes, and collaborating with stakeholders to resolve issues efficiently. • Agile Environment Collaboration: Experience working in an Agile, collaborative environment, understanding stakeholder requirements, and aligning with team goals and objectives. • L3 Support Engineering: Exposure to L3 support engineering practices, including designing, developing, and testing solutions to resolve complex customer-reported problems. • DevOps Engineering: Experience working with DevOps engineering principles, contributing to the automated CI/CD pipeline, and ensuring seamless integration and delivery. • Front-End Development: Exposure to front-end development technologies, designing, developing, testing, and delivering offerings using leading-edge and/or proven technologies. United States Infrastructure & Technology Hybrid Entry Level Yorktown Heights, US Yorktown Heights (0147) International Business Machines Corporation Artificial Intelligence Debugging Engineering Front-end Development Integration Readiness Research Software Testing Agile Coding Continuous Integration/Continuous Delivery Back-end Development Collaboration Unit Testing Continuous Integration/Continuous Delivery Pipelines Stakeholder Requirements DevOps Engineering

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Location
United States
Work model
Hybrid, On-site
Role type
Co-op
Degrees
BS · MS · PhD
Family
AI Engineer
Listed
3h · Oct 30, 2026
I

IBM

Public · 10,001+ employees

  • AI & Machine Learning
  • SaaS & Enterprise Software
  • Consulting & IT Services

IBM is a public technology and consulting company. It builds and sells hybrid-cloud and AI software, enterprise infrastructure, mainframe systems, and data and automation tools. IBM also provides consulting and managed services for business and public-sector clients.

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