Research Return Intern

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. Your role and responsibilities As a Research Scientist in Artificial Intelligence, you will lead cutting‑edge projects in various AI and machine learning areas. You will create and leverage AI techniques to solve analytical problems using rigorous and quantitative approaches. Conduct Research Projects: Observe and learn from existing research in AI and machine learning areas, such as deep learning, reinforcement learning, and computer vision. Explore new techniques and approaches to solve complex analytical problems. Develop AI Algorithms: Assist with creating and testing AI algorithms, and participate in proving mathematical properties of these algorithms. Engage with experiments to demonstrate algorithm properties and their impact on user experiences. Embed Research in Systems: Contribute to embedding research algorithms in usable systems, and support the development of scalable distributed implementations. Communicate Research: Learn from and engage with technical communities through publications and presentations, and assist with communicating research findings to stakeholders. Explore AI Frameworks: Gain exposure to frameworks such as Tensorflow, Caffee, Py.Torch, or Theano, and participate in applying these frameworks to research projects. Required education Master's Degree Required technical and professional expertise Exposure to AI and Machine Learning: Familiarity with AI and machine learning concepts, including deep learning, reinforcement learning, and computer vision. Basic Understanding of Algorithm Development: Interest in creating and testing AI algorithms, and curiosity about mathematical properties of these algorithms. Familiarity with AI Frameworks: Exposure to frameworks such as Tensorflow, Caffee, Py.Torch, or Theano, and basic understanding of their applications. Analytical Problem-Solving Skills: Ability to explore and learn from existing research, and participate in solving analytical problems using rigorous and quantitative approaches. Interest in Technical Communication: Willingness to learn from and engage with technical communities through publications and presentations. Preferred technical and professional experience Familiarity with NLP: Exposure to natural language processing (NLP) concepts, including QA, dialog, and other related areas, is beneficial for this role. Knowledge of Brain‑Inspired Algorithms: Basic understanding of brain‑inspired algorithms and neuromorphic architectures can be an asset in this position. Experience with KRR: Exposure to knowledge representation and reasoning (KRR) concepts, including symbolic and trainable logic, can be advantageous. ABOUT BUSINESS UNIT IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients' success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job‑related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro‑rated for those who start working during the calendar year. Job Title Research Return Intern Date posted 25-Aug-2026 Job ID 130875 City / Township / Village Yorktown Heights State / Province New York Country United States Work arrangement Hybrid Area of work Research Employment type Co-Op (Fixed Term) Contract type Internship Projected Minimum Salary per year 175,000.00 Projected Maximum Salary per year 230,000.00 Position type Internship Up to 20% or 1 day a week Company (0147) International Business Machines Corporation Shift General (daytime) Is this role a commissionable/sales incentive based position? #J-18808-Ljbffr IBM