Intern 2026: AI for Math and Science
IBM
Intern 2026: AI for Math and Science
Job Description
Intern 2026: AI for Math and Science
📋 Job Overview
Join IBM Research as an Intern in 2026 to work on AI for Math and Science. You will develop and demonstrate new AI-based methods and algorithms for computational problems in areas like dynamical systems and linear algebra. This role places you at the heart of IBM's innovation, offering growth and the chance to shape future technologies.
📍 Location: Multiple Locations
💼 Career Level: Internship
🎯 Key Responsibilities
- Develop new AI-based methods and algorithms for computational problems
- Evaluate and validate these methods on benchmarks
- Implement AI models, including training and programming
- Demonstrate working algorithms and systems for AI in Math and Science
✅ Required Qualifications
- Currently pursuing a degree in a relevant field such as Computer Science, Mathematics, or Engineering
- Strong foundation in mathematics, particularly in areas like dynamical systems, combinatorial optimization, linear algebra, and stochastic systems
⭐ Preferred Qualifications
- Experience with AI model training and implementation
- Familiarity with programming languages commonly used in AI and scientific computing
- Previous research experience in AI or related fields
🛠️ Required Skills
- AI model training
- Computer programming
- Knowledge of dynamical systems
- Combinatorial optimization
- Linear algebra
- Stochastic systems
- Algorithm development
- Benchmark validation
🎁 Benefits & Perks
- Up to 8 paid holidays
- Minimum of 56 hours paid sick time
- IBM Employee Stock Purchase Plan
- Paid family medical leave and disability benefits where required by law
Locations
- Multiple Locations, India
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI model trainingintermediate
- Computer programmingintermediate
- Knowledge of dynamical systemsintermediate
- Combinatorial optimizationintermediate
- Linear algebraintermediate
- Stochastic systemsintermediate
- Algorithm developmentintermediate
- Benchmark validationintermediate
Required Qualifications
- Currently pursuing a degree in a relevant field such as Computer Science, Mathematics, or Engineering (experience)
- Strong foundation in mathematics, particularly in areas like dynamical systems, combinatorial optimization, linear algebra, and stochastic systems (experience)
Preferred Qualifications
- Experience with AI model training and implementation (experience)
- Familiarity with programming languages commonly used in AI and scientific computing (experience)
- Previous research experience in AI or related fields (experience)
Responsibilities
- Develop new AI-based methods and algorithms for computational problems
- Evaluate and validate these methods on benchmarks
- Implement AI models, including training and programming
- Demonstrate working algorithms and systems for AI in Math and Science
Benefits
- general: Up to 8 paid holidays
- general: Minimum of 56 hours paid sick time
- general: IBM Employee Stock Purchase Plan
- general: Paid family medical leave and disability benefits where required by law
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Intern 2026: AI for Math and Science
IBM
Intern 2026: AI for Math and Science
Job Description
Intern 2026: AI for Math and Science
📋 Job Overview
Join IBM Research as an Intern in 2026 to work on AI for Math and Science. You will develop and demonstrate new AI-based methods and algorithms for computational problems in areas like dynamical systems and linear algebra. This role places you at the heart of IBM's innovation, offering growth and the chance to shape future technologies.
📍 Location: Multiple Locations
💼 Career Level: Internship
🎯 Key Responsibilities
- Develop new AI-based methods and algorithms for computational problems
- Evaluate and validate these methods on benchmarks
- Implement AI models, including training and programming
- Demonstrate working algorithms and systems for AI in Math and Science
✅ Required Qualifications
- Currently pursuing a degree in a relevant field such as Computer Science, Mathematics, or Engineering
- Strong foundation in mathematics, particularly in areas like dynamical systems, combinatorial optimization, linear algebra, and stochastic systems
⭐ Preferred Qualifications
- Experience with AI model training and implementation
- Familiarity with programming languages commonly used in AI and scientific computing
- Previous research experience in AI or related fields
🛠️ Required Skills
- AI model training
- Computer programming
- Knowledge of dynamical systems
- Combinatorial optimization
- Linear algebra
- Stochastic systems
- Algorithm development
- Benchmark validation
🎁 Benefits & Perks
- Up to 8 paid holidays
- Minimum of 56 hours paid sick time
- IBM Employee Stock Purchase Plan
- Paid family medical leave and disability benefits where required by law
Locations
- Multiple Locations, India
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI model trainingintermediate
- Computer programmingintermediate
- Knowledge of dynamical systemsintermediate
- Combinatorial optimizationintermediate
- Linear algebraintermediate
- Stochastic systemsintermediate
- Algorithm developmentintermediate
- Benchmark validationintermediate
Required Qualifications
- Currently pursuing a degree in a relevant field such as Computer Science, Mathematics, or Engineering (experience)
- Strong foundation in mathematics, particularly in areas like dynamical systems, combinatorial optimization, linear algebra, and stochastic systems (experience)
Preferred Qualifications
- Experience with AI model training and implementation (experience)
- Familiarity with programming languages commonly used in AI and scientific computing (experience)
- Previous research experience in AI or related fields (experience)
Responsibilities
- Develop new AI-based methods and algorithms for computational problems
- Evaluate and validate these methods on benchmarks
- Implement AI models, including training and programming
- Demonstrate working algorithms and systems for AI in Math and Science
Benefits
- general: Up to 8 paid holidays
- general: Minimum of 56 hours paid sick time
- general: IBM Employee Stock Purchase Plan
- general: Paid family medical leave and disability benefits where required by law
Tags & Categories
Answer 10 quick questions to check your fit for Intern 2026: AI for Math and Science @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs