IBM Research is the innovation engine of IBM and the birthplace of technologies as diverse as Fortran, relational databases, t...
IBM Research is the innovation engine of IBM and the birthplace of technologies as diverse as Fortran, relational databases, the fast Fourier transform, fractal geometry, cutting plane methods, laser eye surgery, quantum information theory, TD-Gammon, Deep Blue, and Watson. For more than seven decades, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Our scientists have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. We are primed to define the future of technology for many years to come specifically around the world of Artificial Intelligence. We believe AI will transform the world in dramatic ways in the coming years - and our Research AI group is responsibly advancing the field through our portfolio of research and through collaboration with like-minded institutions. If you're interested in working with some of the world's most talented researchers to advance AI, we may have an opportunity for you!
We are seeking a Research Scientist to conduct research on the topic of safe, ethical, and trustworthy machine learning and AI (), which includes the specific topics of interpretability, causality, fairness, robustness to distribution shifts, robustness to adversarial attacks, value alignment, and end-to-end transparency and accountability of machine learning pipelines. We are seeking a leader who is motivated by the problems of human society and is committed to interdisciplinary engagement and collaboration with the scholarly community, with business units within IBM, and with external partners and clients. In this unique role, you will work from the historic T.J. Watson Research Center in idyllic Yorktown Heights, NY and be part of the group behind the AI Fairness 360 open-source toolkit () and the IBM Science for Social Good initiative (). You will interact with the brightest minds in AI and will help bring AI research ideas into scalable, robust systems. We want to bring out the best in you and expect you to do the same to us. Your can-do approach to creative problem solving will be critical to the success of your team and the company.
Your Role and Responsibilities
Create new technologies to make ML and AI more trusted for high-stakes decision making
Publish results and file patent disclosures as appropriate
Develop solutions to tackle real-world societal problems
Apply software engineering skills, design skills, and creative thinking to build cutting edge AI systems
Be an active member of the research community, by validating and contributing to advances in ML
Identify and refine project requirements and solutions to potentially abstract AI challenges
Work in high intensity, joint teams of software engineers and research scientists
As an IBM researcher, you will work on the most cutting-edge, exciting projects and collaborate with top researchers both inside IBM and at our partner universities. Your creativity and innovative problem solving will be essential to the success of our team and the company. We want to bring out the best in you and expect you will do the same for us!
Required Technical and Professional Expertise
PhD degree in computer science, electrical engineering, statistics, or related technical field
Knowledge of or experience with one or more of the following: interpretable machine learning, algorithmic fairness, causal inference and causal discovery, robustness, privacy, optimization theory, information theory, human computer interaction, Social AI
Knowledge of machine learning
Experience with one or more general purpose programming languages and machine learning packages
Publication record in top-tier conferences (e.g. NeurIPS, ICML, ICLR, AISTATS, AAAI, IJCAI, KDD, FAT*, AIES)
Some experience applying data science for social good is a plus
Preferred Technical and Professional Expertise
About Business Unit
With more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world's most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.
What matters to you when you're looking for your next career challenge?
Maybe you want to get involved in work that really changes the world. What about somewhere with incredible and diverse career and development opportunities - where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust - where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.
Impact. Inclusion. Infinite Experiences. Do your best work ever.
IBM's greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.