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IBM Software Engineer - AI-powered Automation Intern 
United States, New York 
835186747

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This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.

In your role as a Research Software Engineer, you will interact with the brightest minds in AI and will help transform AI research ideas into scalable, robust systems that solve real-world problems and help us advance our research and development agenda on artificial intelligence including areas such Natural Language Processing, CodeLLMs, Agents and Agentic Workflows, Generative AI Applications for Code, Time-Series, Business and IT Automation, and API Composition and Orchestration.

You have a proven interest and experience in implementing innovative software solutions and applications. In your role as AI Research Software Engineer, you will work in close collaboration with other researchers and engineers to create, maintain and support world-class applications and/or infrastructure in support of our research and development agenda on artificial intelligence. This may also include any research related to your project.You will also deliver production level-code to support the commercialization of the resulting assets. Demonstrated communication skills are essential.
Required Technical and Professional Expertise

  • Applicants should be BS students
  • Programming skills in Python, Java, C++/C etc.
  • Backend storage technologies such as SQL and Non-SQL databases (Postgres, MongoDB, Cloudant, ElasticSearch etc.)
  • Experience in Kubernetes CI/CD tools and operators, IBM Cloud and machine learning training pipelines
  • Software engineering practices including agile techniques
  • System building/debugging/testing skills


Preferred Technical and Professional Expertise

  • Machine learning engineering: creating training pipelines and evaluating models using toolkits such as PyTorch, Tensorflow, and scikit-learn.
  • Experience in web application development and frameworks including HTML, CSS and JavaScript, JQuery, React, Flask, Node.js etc.
  • Qualitative and quantitative user research and user-centric design
  • Solving analytical problems using rigorous and quantitative approaches
  • Analyzing large scale data from a variety of sources
  • Previous experience publishing scientific results, e.g. atNeurIPS, ICML, ICLR, IJCAI, ACL, AAAI, KDD, CHI, IUI, CSCW or similar

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