Mathematics of Computing Research Summer Intern: 2026
IBM
Mathematics of Computing Research Summer Intern: 2026
Job Description
Mathematics of Computing Research Summer Intern: 2026
📋 Job Overview
Join IBM Research as a Mathematics of Computing Summer Intern in 2026 to develop new mathematically grounded methods and algorithms across various domains including linear algebra, encryption, and AI. You will engage in research, implementation, and validation of advanced computational frameworks, contributing to the frontiers of AI, secure computation, and scientific discovery. This role offers a dynamic environment where you can grow, innovate, and make a real-world impact.
📍 Location: Multiple Locations
💼 Career Level: Internship
🎯 Key Responsibilities
- Develop new mathematically grounded methods and algorithms
- Research into new mathematical and algorithmic formulations
- Implement AI model training and development of numerical and algebraic solvers
- Engage in encrypted and quantum-classical computation
- Develop advanced algorithmic techniques for neural and optimization-based architectures
- Program and prototype software across classical, distributed, and quantum systems
- Validate algorithms on theoretical and practical benchmarks
- Demonstrate working algorithms and systems that advance AI, secure computation, and scientific discovery
✅ Required Qualifications
- Pursuing a degree in a relevant field such as mathematics, computer science, or engineering
- Strong foundation in mathematical and algorithmic concepts
⭐ Preferred Qualifications
- Experience with numerical linear and multi-linear algebra
- Knowledge of computational and meta-complexity theory
- Familiarity with fully homomorphic encryption
- Background in optimization, especially discrete optimization and reinforcement learning
- Understanding of algorithmic foundations of neural networks
- Experience with quantum-centric high-performance computing
- Knowledge of probability theory and stochastic processes
- Experience with AI for algorithmic reasoning
🛠️ Required Skills
- Mathematical modeling
- Algorithm development
- AI model training
- Numerical and algebraic solvers
- Encrypted computation
- Quantum-classical computation
- Software prototyping
- Programming across classical, distributed, and quantum systems
- Validation on benchmarks
- Collaboration and teamwork
- Feedback and growth mindset
🎁 Benefits & Perks
- Opportunity for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Access to IBM's resources and technology
- Equal opportunity employment
Locations
- Multiple Locations, India
Salary
Estimated Salary Rangemedium confidence
50,000 - 100,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Mathematical modelingintermediate
- Algorithm developmentintermediate
- AI model trainingintermediate
- Numerical and algebraic solversintermediate
- Encrypted computationintermediate
- Quantum-classical computationintermediate
- Software prototypingintermediate
- Programming across classical, distributed, and quantum systemsintermediate
- Validation on benchmarksintermediate
- Collaboration and teamworkintermediate
- Feedback and growth mindsetintermediate
Required Qualifications
- Pursuing a degree in a relevant field such as mathematics, computer science, or engineering (experience)
- Strong foundation in mathematical and algorithmic concepts (experience)
Preferred Qualifications
- Experience with numerical linear and multi-linear algebra (experience)
- Knowledge of computational and meta-complexity theory (experience)
- Familiarity with fully homomorphic encryption (experience)
- Background in optimization, especially discrete optimization and reinforcement learning (experience)
- Understanding of algorithmic foundations of neural networks (experience)
- Experience with quantum-centric high-performance computing (experience)
- Knowledge of probability theory and stochastic processes (experience)
- Experience with AI for algorithmic reasoning (experience)
Responsibilities
- Develop new mathematically grounded methods and algorithms
- Research into new mathematical and algorithmic formulations
- Implement AI model training and development of numerical and algebraic solvers
- Engage in encrypted and quantum-classical computation
- Develop advanced algorithmic techniques for neural and optimization-based architectures
- Program and prototype software across classical, distributed, and quantum systems
- Validate algorithms on theoretical and practical benchmarks
- Demonstrate working algorithms and systems that advance AI, secure computation, and scientific discovery
Benefits
- general: Opportunity for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Access to IBM's resources and technology
- general: Equal opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Mathematics of Computing Research Summer Intern: 2026 @ IBM.
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Mathematics of Computing Research Summer Intern: 2026
IBM
Mathematics of Computing Research Summer Intern: 2026
Job Description
Mathematics of Computing Research Summer Intern: 2026
📋 Job Overview
Join IBM Research as a Mathematics of Computing Summer Intern in 2026 to develop new mathematically grounded methods and algorithms across various domains including linear algebra, encryption, and AI. You will engage in research, implementation, and validation of advanced computational frameworks, contributing to the frontiers of AI, secure computation, and scientific discovery. This role offers a dynamic environment where you can grow, innovate, and make a real-world impact.
📍 Location: Multiple Locations
💼 Career Level: Internship
🎯 Key Responsibilities
- Develop new mathematically grounded methods and algorithms
- Research into new mathematical and algorithmic formulations
- Implement AI model training and development of numerical and algebraic solvers
- Engage in encrypted and quantum-classical computation
- Develop advanced algorithmic techniques for neural and optimization-based architectures
- Program and prototype software across classical, distributed, and quantum systems
- Validate algorithms on theoretical and practical benchmarks
- Demonstrate working algorithms and systems that advance AI, secure computation, and scientific discovery
✅ Required Qualifications
- Pursuing a degree in a relevant field such as mathematics, computer science, or engineering
- Strong foundation in mathematical and algorithmic concepts
⭐ Preferred Qualifications
- Experience with numerical linear and multi-linear algebra
- Knowledge of computational and meta-complexity theory
- Familiarity with fully homomorphic encryption
- Background in optimization, especially discrete optimization and reinforcement learning
- Understanding of algorithmic foundations of neural networks
- Experience with quantum-centric high-performance computing
- Knowledge of probability theory and stochastic processes
- Experience with AI for algorithmic reasoning
🛠️ Required Skills
- Mathematical modeling
- Algorithm development
- AI model training
- Numerical and algebraic solvers
- Encrypted computation
- Quantum-classical computation
- Software prototyping
- Programming across classical, distributed, and quantum systems
- Validation on benchmarks
- Collaboration and teamwork
- Feedback and growth mindset
🎁 Benefits & Perks
- Opportunity for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Access to IBM's resources and technology
- Equal opportunity employment
Locations
- Multiple Locations, India
Salary
Estimated Salary Rangemedium confidence
50,000 - 100,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Mathematical modelingintermediate
- Algorithm developmentintermediate
- AI model trainingintermediate
- Numerical and algebraic solversintermediate
- Encrypted computationintermediate
- Quantum-classical computationintermediate
- Software prototypingintermediate
- Programming across classical, distributed, and quantum systemsintermediate
- Validation on benchmarksintermediate
- Collaboration and teamworkintermediate
- Feedback and growth mindsetintermediate
Required Qualifications
- Pursuing a degree in a relevant field such as mathematics, computer science, or engineering (experience)
- Strong foundation in mathematical and algorithmic concepts (experience)
Preferred Qualifications
- Experience with numerical linear and multi-linear algebra (experience)
- Knowledge of computational and meta-complexity theory (experience)
- Familiarity with fully homomorphic encryption (experience)
- Background in optimization, especially discrete optimization and reinforcement learning (experience)
- Understanding of algorithmic foundations of neural networks (experience)
- Experience with quantum-centric high-performance computing (experience)
- Knowledge of probability theory and stochastic processes (experience)
- Experience with AI for algorithmic reasoning (experience)
Responsibilities
- Develop new mathematically grounded methods and algorithms
- Research into new mathematical and algorithmic formulations
- Implement AI model training and development of numerical and algebraic solvers
- Engage in encrypted and quantum-classical computation
- Develop advanced algorithmic techniques for neural and optimization-based architectures
- Program and prototype software across classical, distributed, and quantum systems
- Validate algorithms on theoretical and practical benchmarks
- Demonstrate working algorithms and systems that advance AI, secure computation, and scientific discovery
Benefits
- general: Opportunity for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Access to IBM's resources and technology
- general: Equal opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Mathematics of Computing Research Summer Intern: 2026 @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs