AI/ML Engineering internship: SVL
IBM
AI/ML Engineering internship: SVL
Job Description
AI/ML Engineering internship: SVL
📋 Job Overview
Join IBM's AI/ML Center of Excellence as an AI/ML Engineer intern at the Silicon Valley Lab. Collaborate with product teams to implement AI/ML capabilities across IBM's Automation products, focusing on Large Language Models (LLMs). Lead data collection for LLM training and integration into products, establishing best practices for AI/ML feature implementation.
📍 Location: San Jose, US (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Collaborate with cross-functional product teams to implement AI/ML capabilities across IBM's Automation product portfolio
- Lead efforts in data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation by product teams
🛠️ Required Skills
- Machine Learning
- Large Language Models (LLMs)
- Data Collection
- Data Management
- Integration
- Best Practices Implementation
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for exceptional customer outcomes
Locations
- San Jose, US, India (Remote)
Salary
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
- Machine Learningintermediate
- Large Language Models (LLMs)intermediate
- Data Collectionintermediate
- Data Managementintermediate
- Integrationintermediate
- Best Practices Implementationintermediate
Responsibilities
- Collaborate with cross-functional product teams to implement AI/ML capabilities across IBM's Automation product portfolio
- Lead efforts in data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation by product teams
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for exceptional customer outcomes
Tags & Categories
AI/ML Engineering internship: SVL
IBM
AI/ML Engineering internship: SVL
Job Description
AI/ML Engineering internship: SVL
📋 Job Overview
Join IBM's AI/ML Center of Excellence as an AI/ML Engineer intern at the Silicon Valley Lab. Collaborate with product teams to implement AI/ML capabilities across IBM's Automation products, focusing on Large Language Models (LLMs). Lead data collection for LLM training and integration into products, establishing best practices for AI/ML feature implementation.
📍 Location: San Jose, US (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Collaborate with cross-functional product teams to implement AI/ML capabilities across IBM's Automation product portfolio
- Lead efforts in data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation by product teams
🛠️ Required Skills
- Machine Learning
- Large Language Models (LLMs)
- Data Collection
- Data Management
- Integration
- Best Practices Implementation
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for exceptional customer outcomes
Locations
- San Jose, US, India (Remote)
Salary
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
- Machine Learningintermediate
- Large Language Models (LLMs)intermediate
- Data Collectionintermediate
- Data Managementintermediate
- Integrationintermediate
- Best Practices Implementationintermediate
Responsibilities
- Collaborate with cross-functional product teams to implement AI/ML capabilities across IBM's Automation product portfolio
- Lead efforts in data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation by product teams
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for exceptional customer outcomes
Tags & Categories