Research Scientist

5 days ago


Yorktown Heights, New York, United States IBM Full time
About the Role

We are seeking a highly skilled Research Scientist to join our team at IBM. As a Research Scientist, you will play a key role in preparing and governing data for IBM's Granite models.

Our team is responsible for developing and maintaining the Data and Model Factory, which produces all of IBM's Granite models. We work closely with scientists, engineers, and designers to accelerate the entire data pipeline, from data clearance and acquisition to engineering.

The data we produce is used in pre-training, fine-tuning, instruction-tuning, or RAG solutions powered by IBM Granite. We thrive in open-source innovation, responsible use of data and AI, collaboration across disciplines, and responsible use of data and AI.

Your Responsibilities
  • Conduct cutting-edge research on LLM models
  • Design and develop new architectures, algorithms, and approaches to improve language models
  • Collaborate with cross-functional teams (engineering, product) to integrate models into production systems
  • Publish research in top-tier conferences like NeurIPS, ICML, and ACL
Requirements

Applicants should be enrolled in a Master's or PhD in Computer Science, Machine Learning, or related fields.

Expertise in NLP, deep learning, transformer architectures, and strong experience with PyTorch or TensorFlow are required.

A proven record of publications in top machine learning or AI conferences is also necessary.

About IBM

IBM is a global technology and consulting company that is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

We believe that through the application of intelligence, reason, and science, we can improve business, society, and the human condition.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing, and blockchain.

We are seeking talented individuals who share our vision and are passionate about making a difference in the world.


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