AI Foundations - Research Scientist

IBM

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Work type
On-site
Location
San Francisco, CA
Posted
12 days ago
Nearby
99+ roles within 25 mi

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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.

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

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TL;DR · AI Foundations - Research Scientist

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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 rigorous experiments, and integrating research into practical systems. You must have expertise in compilers, programming languages, and formal verification, along with proficiency in deep learning frameworks and GPU programming. The role requires a strong foundation in mathematical fundamentals and evaluation methods used in AI/ML, as well as an established record of publishing in top-tier conferences such as POPL, OOPSLA, PLDI, NeurIPS, CVPR, ICML, and ICLR. You will collaborate closely with teams working on reinforcement learning, deep learning, and LLM training to ensure your innovations have a practical impact on the inference stack used by open weight model providers.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Git CUDA PostgreSQL Prometheus Grafana Jupyter Markdown GitHub Linux Shell_scripting NVIDIA_TensorRT NeurIPS CVPR ICML ICLR

What you'll do

  • Lead projects in deep learning, reinforcement learning, and lifelong learning.
  • Develop and prove mathematical properties of AI algorithms through rigorous experimentation.
  • Embed research algorithms into usable systems for practical application.
  • Publish research findings in top-tier conferences and journals.
  • Prove the mathematical properties of algorithms related to compiler design.
  • Conduct experiments to demonstrate the impact of AI techniques on user experiences.

What we're looking for

  • Proven track record in leading projects in compilers, programming languages, or formal verification.
  • Deep expertise in mathematical fundamentals and evaluation methods in AI/ML fields.
  • Hands-on experience with deep learning frameworks and GPU programming.
  • Strong publication history in top-tier conferences and journals in PL/FM and AI/ML.
  • Ability to lead research at the intersection of programming language design and model hosting.
  • Conduct rigorous experiments to prove properties and impact of algorithms.
  • Collaborate effectively with researchers and engineers across various AI/ML areas.

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