IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations.
Requirements
- Numerical linear and multi-linear algebra
- Complexity theory, particularly as related to meta-complexity and foundation models
- Knowledge of formal optimization methods
- AI for algorithmic reasoning
- Quantum-centric high-performance computing
- Fully homomorphic encryption
- Probability theory and stochastic processes
- Algorithms, particularly as related to neural networks
Responsibilities
- Develop new mathematically grounded methods and algorithms in one or more of the following areas: numerical linear and multi-linear algebra, computational and meta-complexity theory, fully homomorphic encryption, optimization (especially discrete optimization and reinforcement learning based methods), algorithmic foundations of neural networks, quantum-centric high-performance computing, probability theory and stochastic processes, and AI for algorithmic reasoning.
- The job requires research into new mathematical and algorithmic formulations that integrate learning, optimization, and encryption within scalable computational frameworks
- implementation including AI model training, development of numerical and algebraic solvers, encrypted and quantum-classical computation, and advanced algorithmic techniques for neural and optimization-based architectures
- computer programming and software prototyping across classical, distributed, and quantum systems
- validation on theoretical and practical benchmarks
- development and demonstration of working algorithms and systems that advance the frontiers of AI for mathematics, secure computation, and scientific discovery.
Other
- Bachelor's Degree
- Master's Degree
- dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships
- learn and develop yourself and your career
- growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company.
