Job Title: Short-term Research Coop Company: IBM Location: Cambridge, US Country: United States Employment Type: Entry Level Department: Research Posted Date: 2026-10-20
Job Description: A career at IBM provides the rare opportunity to help define a new industry. You will be working with AI researchers on improving the reliability of foundation models. This position is research-oriented. Outcomes of this position include publications and potential IBM product opportunities. As a Research Scientist specializing in Artificial Intelligence, you will lead cutting-edge projects in various AI and machine learning areas, creating and leveraging innovative techniques to solve complex analytical problems. You will apply rigorous and quantitative approaches to develop and embed research algorithms in usable systems. Your primary responsibilities will include: • Develop AI Techniques: Create and leverage AI techniques, including machine learning and NLP, to solve analytical problems using rigorous and quantitative approaches. • Conduct Experiments: Design and conduct experiments to demonstrate the properties of algorithms and evaluate their impact on user experiences. • Embed Research Algorithms: Integrate research algorithms into usable systems, ensuring seamless functionality and optimal performance. • Communicate Research: Share research findings with technical communities through publications in top-tier conferences and journals, such as NIPS, CVPR, and ICML. • Apply Expertise: Utilize expertise in frameworks like Tensorflow, Caffe, PyTorch, or Theano to drive project success. • AI Technique Development: Exposure to creating and leveraging AI techniques, including machine learning and NLP, to solve analytical problems using rigorous and quantitative approaches. • Algorithm Experimentation: Experience working with designing and conducting experiments to demonstrate the properties of algorithms and evaluate their impact on user experiences. • Research Algorithm Integration: Exposure to integrating research algorithms into usable systems, ensuring seamless functionality and optimal performance. • Technical Community Engagement: Experience with sharing research findings with technical communities through publications in top-tier conferences and journals. • Framework Proficiency: Exposure to utilizing expertise in frameworks like Tensorflow, Caffe, PyTorch, or Theano to drive project success. • Framework Expertise: Exposure to utilizing expertise in frameworks like Tensorflow, Caffe, PyTorch, or Theano to drive project success, creating and leveraging AI techniques, and solving analytical problems using rigorous and quantitative approaches. • Technical Community Involvement: Experience with sharing research findings with technical communities through publications in top-tier conferences and journals, such as NIPS, CVPR, and ICML, to communicate research and stay updated on industry advancements. • Algorithm Development: Exposure to developing and experimenting with algorithms, including designing and conducting experiments to demonstrate algorithm properties and evaluate their impact on user experiences. United States Research Entry Level Cambridge, US Cambridge (0147) International Business Machines Corporation
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
Applying early at IBM gives you a measurable advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the pile grows. Being among the first candidates seen helps you stand out in a large applicant pool. You can also improve your response rates by reaching out to the recruiters behind the roles directly. Intern Insider surfaces the specific contacts for IBM positions so you can ask about the role or a referral. This direct approach often works better than sending your resume into a queue.
