AI Foundations - Research Scientist

IBM

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Work type
On-site
Location
Cambridge, MA
Posted
12 days ago
Nearby
99+ roles within 25 mi

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Similar $207k
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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 firm, 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 used by open weight model providers. You must have a strong background in compilers, programming languages, formal verification, and deep learning frameworks, along with experience publishing research in top-tier conferences like POPL, OOPSLA, PLDI, NeurIPS, CVPR, ICML, and ICLR. This role requires expertise in AI/ML subfields and proficiency in evaluating mathematical fundamentals of algorithms to ensure they enhance user experiences across various domains including vision and speech models.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Git CUDA PostgreSQL Prometheus Grafana Jupyter Markdown GitHub Linux NVIDIA GPUs C++ Java JavaScript REST APIs Swagger JSON YAML

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 to enhance user experiences.
  • Conduct experiments to demonstrate the impact of AI techniques on real-world problems.

What we're looking for

  • Proven track record leading projects in compilers, programming languages, or formal verification.
  • Deep expertise in mathematical fundamentals and evaluation methods for AI/ML fields.
  • Hands-on experience with deep learning frameworks and modern GPU programming.
  • Strong publication history in top-tier conferences and journals like POPL, OOPSLA, CVPR.
  • Ability to lead projects at the intersection of PL design, compiler design, and model hosting.
  • Conduct rigorous experiments to prove mathematical properties of algorithms and evaluate impact.

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