IBM Automation and AI group is seeking an AI/ML Engineer intern specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio.
Requirements
- Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design.
- Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience with data processing pipelines and working with large datasets
- Knowledge of MLOps practices and tools for model deployment and monitoring
- Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design.
- Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience with data processing pipelines and working with large datasets
Responsibilities
- Design and implement robust data collection pipelines for diverse LLM training datasets leveraging the IBM AI Model & Data Catalog.
- Develop data quality assessment frameworks to ensure training data meets IBM's high standards
- Create annotation guidelines and workflows for specialized domain-specific datasets
- Implement data governance protocols that ensure compliance with privacy regulations and ethical AI principles following the IBM Data & Model Governance process and tooling.
- Establish evaluation datasets and benchmarks to measure LLM performance across various use cases leveraging FM-Eval and Unitxt.
- Architect solutions to integrate LLMs with IBM's existing and emerging products and ecosystem
- Develop APIs and interfaces that enable seamless interaction between LLMs and other software components
Other
- Pending Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field
- Less than one year of experience in machine learning engineering or data science roles
- Ability to work independently and collaborate effectively across diverse teams.
- Strong communication skills to explain complex AI concepts to diverse audiences
- Problem-solving mindset with ability to navigate technical and business constraints
