Lead AI Foundations Research Scientist

IBM

Cambridge (MA)

On-site

USD 150,000 - 210,000

Full time

8 hours ago
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Job summary

IBM Research is seeking a Research Scientist in Artificial Intelligence to lead cutting-edge AI/ML projects and translate theoretical advances into practical systems. You will publish in top venues and collaborate with world-class scientists to push the boundaries of AI across domains, from deep learning to applicable quantum-inspired approaches.

The role emphasizes rigorous experimentation, verification of algorithm properties, and integration of AI techniques into scalable products and

Qualifications

  • Deep expertise in one or more AI/ML areas including deep learning, RL, symbolic learning, CV, NLP, and related fields.
  • Experience developing and proving mathematical properties of algorithms and evaluating their user impact.
  • Proficiency with PyTorch and TensorFlow to develop AI solutions.
  • Experience communicating research findings through publications in top conferences/journals.

Responsibilities

  • Lead AI projects in deep learning, reinforcement learning, lifelong learning, and related areas.
  • Develop and prove mathematical properties of algorithms and assess their impact on user experiences.
  • Embed research algorithms into usable systems with seamless integration.
  • Publish research findings in top-tier conferences and journals (e.g., NIPS, CVPR, ICML, ICLR).
  • Leverage AI frameworks to develop and implement AI solutions.

Skills

Deep AI/ML expertise
Algorithm development
AI Frameworks: PyTorch, TensorFlow
Research communication
System integration of AI in usable ssy

Education

Doctorate Degree

Tools

PyTorch
TensorFlow

Job description

IBM Research is seeking a Research Scientist in Artificial Intelligence to lead cutting-edge AI/ML projects and translate theoretical advances into practical systems. You will publish in top venues and collaborate with world-class scientists to push the boundaries of AI across domains, from deep learning to applicable quantum-inspired approaches.

The role emphasizes rigorous experimentation, verification of algorithm properties, and integration of AI techniques into scalable products and

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