Data Science Student for AI Solutions Group

Intel Intel · Semiconductors · Petah-Tikva, Israel

Intel's AI Solutions Group is seeking an MSc/PhD student to work on state-of-the-art AI capabilities for chip development. The role involves solving high-value problems using ML, DL, and LLMs, from ideation and research to preparing solutions for deployment. Requires strong Python, ML/DL knowledge, and familiarity with AI tools like PyTorch or Scikit-learn.

What you'd actually do

  1. We solve challenging high-value problems using many diverse datasets.
  2. We utilize cutting-edge methods from various AI domains, including traditional Machine Learning, Deep Learning, and LLMs, using a variety of Python frameworks.
  3. Our Data Scientists are at the core of any new solution we develop, and they are involved in all the AI aspects of the project: from ideation and problem formulation, through the state-of-the-art research for developing the algorithmic solution, to preparing the solution for deployment.

Skills

Required

  • MSc/PhD student focusing on AI, including a thesis in this field
  • Relevant disciplines of studies: computer science, engineering, or statistics
  • Strong ML/DL knowledge + experience in solving data science problems using these methods
  • Highly motivated to solve real-world problems and create a high impact in practice
  • Substantial experience in programming in Python
  • Acquaintance with AI-related tools, such as PyTorch, Scikit-learn, or LangGraph
  • Team player with great communication skills, who can also work independently and methodically.
  • Capacity to work at least 3 days a week, and studies expected to continue for at least 1.5 years.

What the JD emphasized

  • MSc/PhD student focusing on AI, including a thesis in this field
  • Substantial experience in programming in Python
  • Acquaintance with AI-related tools, such as PyTorch, Scikit-learn, or LangGraph
  • Capacity to work at least 3 days a week, and studies expected to continue for at least 1.5 years.

Other signals

  • delivering state-of-the-art AI capabilities
  • launched over 1,000 AI solutions
  • innovating with advanced techniques in AI and Generative AI
  • solving challenging high-value problems using many diverse datasets
  • utilize cutting-edge methods from various AI domains, including traditional Machine Learning, Deep Learning, and LLMs
  • involved in all the AI aspects of the project: from ideation and problem formulation, through the state-of-the-art research for developing the algorithmic solution, to preparing the solution for deployment