IBM Research is seeking to advance its research and development agenda on artificial intelligence and foundation models, with a focus on designing AI systems and algorithms that can be used responsibly and produce effective outcomes for enterprise users.
Requirements
- Programming languages: Python, Java, C/C++, JavaScript, R, etc.
- Software engineering best practices, including agile techniques
- Cloud-native development and toolkits such as Docker, Kubernetes, and OpenShift
- Machine learning engineering: creating training pipelines and evaluating models using toolkits such as PyTorch, TensorFlow, and scikit-learn
- Machine learning theory: discriminative models, generative models, deep neural networks, large language models, detecting and mitigating bias, adversarial robustness, causality, uncertainty
- Backend storage technologies such as SQL and NoSQL databases such as Postgres, MongoDB, Cloudant, ElasticSearch, etc.
- Experience with finetuning algorithms (e.g., LoRA, DPO, etc.), reinforcement learning, model architectures (e.g., transformers, state-space models, etc.), LLM-based agents, agentic workflows, multi-agent systems, RAG, agent frameworks (e.g., LangGraph, CrewAI, etc.), time series data
Responsibilities
- Defining and driving a research agenda for the duration of the internship with the goal to publish work at top academic venues
- Conducting world-class research and software development in collaboration with other researchers and engineers
- Designing, validating, and characterizing algorithms and/or systems
- Creating training pipelines and evaluating models using toolkits such as PyTorch, TensorFlow, and scikit-learn
- Analyzing large-scale data from a variety of sources
- Training large-scale machine learning models
- Developing front and back-end web application development and frameworks such as HTML, CSS, Bootstrap, Carbon, React, Flask, Node.js, etc.
Other
- Bachelor's Degree
- Preferred Education: Master's Degree
- Demonstrated communication skills
- Ability to work in close collaboration with other researchers and engineers
- No travel required
