AI Foundations - Research Scientist
Role Overview
At IBM Research, we are dedicated to driving innovation and shaping the future of technology. Our team collaborates with leading scientists, engineers, and visionaries to advance fields like AI, hybrid cloud, and quantum computing. As a Research Scientist in Artificial Intelligence, you will lead cutting-edge projects in various AI and machine learning areas.
Responsibilities
Lead AI Projects: Take the lead on projects in deep learning, reinforcement learning, lifelong learning, and other AI/ML areas, developing and applying AI techniques to solve complex analytical problems.
Develop Algorithms: Design and prove mathematical properties of algorithms, conduct experiments to demonstrate their impact, and evaluate their effectiveness.
Embed Research in Systems: Ensure that your research algorithms are integrated into usable systems, making them accessible and impactful.
Communicate Research: Publish your research findings in top-tier conferences and journals, sharing your insights with the broader academic community.
Preferred Education and Technical Expertise
Doctorate Degree: A strong educational background is required, with a focus on PL/SE/FM, AI/ML, and related fields.
Deep Expertise in AI/ML: A solid understanding of major subfields in AI/ML, along with a strong foundation in mathematical fundamentals and evaluation methods.
Hands-on Experience: Practical experience with deep learning frameworks and modern GPU programming, demonstrating the ability to embed research algorithms in usable systems.
Research Communication: A proven track record of publishing research findings in top-tier conferences and journals, including POPL, OOPSLA, PLDI, CAV, NeurIPS, CVPR, ICML, and ICLR.
Preferred Technical and Professional Experience
Lead Research: Experience leading projects at the intersection of programming language design, compiler design, and model hosting, proving mathematical properties of algorithms, and collaborating with peers to ensure practical impact.
Disseminate Research: Ability to position and embed your research within a larger industrial research program, including IBM's Granite language, vision, and speech models.
Collaborate: Strong collaboration skills, working closely with researchers and engineers in reinforcement learning, deep learning, online learning, LLM training, and other AI/ML areas.
Develop Models and Conduct Experiments: Conduct experiments to demonstrate the properties and impact of AI algorithms, ensuring they are both theoretically sound and practically applicable.