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IBM Research Scientist United States, Massachusetts, Cambridge 718806011
05.08.2024
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Your Role and Responsibilities
As a Research Scientist on our Data and Model Factory team, your role will not just be limited to answering questions but also to questioning answers. We’re not merely looking for people who can do the job; we’re seeking those who can redefine it. You will:
Lead the development of groundbreaking machine learning techniques, with a focus on large language models (LLMs).
Design and implement large scale experiments for alignment research, aiming to understand and improve model behaviors at scale.
Investigate the applicability and performance of LLMs and generative models across diverse tasks.
Analyze and manage extensive datasets, translating complex interpretability experiments into actionable insights through high-quality visualizations.
Required Technical and Professional Expertise
Perform GenAI research that leads to something more than papers
Lead model architecture effort
Mixture of experts and/or other sparse architecture for LLMs
Expansible LLM architecture for life-long learning
Model fusion for better LLM open-source strategies
Preferred Technical and Professional Expertise
A PhD in Machine Learning, specifically in generative modeling or continual learning.
A strong track record of publications in large-scale generative modeling, representation learning, and continual learning.
Hands-on experience in training large language models, preferably within multi-node cluster environments.
Technical Familiarity: Knowledge of alignment training frameworks, such as deepspeed chat, demonstrating a comprehensive understanding of current LLM training methodologies.
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