Research Scientist, AI Foundations

IBM

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Posted
8 days ago
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Confirmed live yesterday

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How this pay compares to similar roles

Similar $225k
$171k most similar roles pay here $289k

This listing doesn't post a salary. Most similar roles pay $195,200–$255,000.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · Research Scientist, AI Foundations

Research Scientist - AI Foundations joins IBM Research to lead cutting-edge projects in artificial intelligence and machine learning. The role involves developing innovative, quantitative approaches to solve complex analytical problems, specifically focusing on frontier areas like long-horizon memory for self-evolving models. You will design experiments to evaluate algorithm properties, integrate these algorithms into usable systems, and communicate findings through publications in top-tier conferences such as NeurIPS, CVPR, and ICML. The work addresses technical challenges in enterprise document understanding and quantum computing. Required expertise includes hands-on experience with large language and multimodal models, solid knowledge of transformer models and statistical inference, and strong programming skills. Candidates should possess a problem-solving mindset and a commitment to engineering excellence while navigating the intersection of high-performance computing and advanced AI research.

What does a Research Scientist earn?

Median $216250 from 42 postings across 13 companies.

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What you'll do

  • Develop innovative AI approaches using rigorous and quantitative methods to solve complex analytical problems.
  • Conduct research on frontier topics like long-horizon memory for self-evolving models and quantum computing applications.
  • Design and conduct experiments to demonstrate algorithm properties and evaluate their impact on user experiences.
  • Integrate research algorithms into usable systems to ensure seamless functionality and optimal performance.
  • Publish research findings in top-tier conferences and journals such as NeurIPS, CVPR, and ICML.
  • Develop and implement large language models and multimodal models for enterprise use cases.
  • Build AI memory models and systems for long-horizon reasoning or self-evolving agents.

What we're looking for

  • A Bachelor's degree is required.
  • A Doctorate degree is preferred.
  • Candidates must have hands-on experience with large language and multimodal models.
  • Candidates must possess solid knowledge in transformer models and statistical inference.
  • Strong programming skills are required.
  • Experience building AI memory models and systems for long-horizon reasoning or self-evolving agents is preferred.
  • Candidates should have a track record of publications in top-tier AI conferences like NeurIPS, CVPR, and ICML.
  • Strong problem-solving skills with a focus on quality and engineering excellence are required.

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