AI Foundations - Research Scientist

IBM

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Work type
On-site
Location
New York, NY
Posted
12 days ago

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Similar $207k
$158k most similar roles pay here $259k

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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 704 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 9 roles with salary data.

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At a glance

TL;DR · AI Foundations - Research Scientist

As a Research Scientist in Artificial Intelligence at this leading tech company, you will lead projects in deep learning, reinforcement learning, and lifelong learning, applying advanced AI techniques to solve complex analytical problems. Your day-to-day responsibilities include developing mathematical proofs for algorithms, conducting experiments to validate their effectiveness, and integrating these innovations into practical systems. You must have a strong background in compilers, programming languages, formal verification, and machine learning frameworks such as deep learning libraries and GPU programming. Additionally, you will communicate your research through publications in top-tier conferences like NeurIPS, CVPR, ICML, ICLR, POPL, OOPSLA, and PLDI, ensuring that your work has a significant impact on the broader industrial research landscape.

What you'll do

  • Lead projects in deep learning, reinforcement learning, and lifelong learning.
  • Develop mathematical properties of algorithms for user experience improvement.
  • Embed research algorithms into usable systems for practical application.
  • Publish research findings in top-tier conferences and journals.
  • Prove mathematical properties of algorithms through rigorous experiments.
  • Situate research within a larger industrial program involving AI models.
  • Collaborate on projects at the intersection of programming languages and AI.

What we're looking for

  • Proven track record in leading cutting-edge projects in compilers, programming languages, or formal verification.
  • Deep expertise in major subfields of AI/ML with strong mathematical fundamentals.
  • Hands-on experience with deep learning frameworks and GPU programming.
  • Established record of publishing research findings in top-tier conferences/journals.
  • Ability to lead interdisciplinary projects at the intersection of PL design and model hosting.
  • Conduct rigorous experiments to prove properties and impact of algorithms.
  • Collaborate closely with researchers and engineers on AI/ML areas.

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