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Graphics, ML Research Intern

Research Scientist Intern - Graphics, ML at Intel Corporation

Push the boundaries of graphics and machine learning at Intel! This internship offers a unique opportunity to collaborate with world-class researchers on cutting-edge graphics technologies with a focus on machine learning integration. You’ll delve into real-world research projects, contribute to the development of future Intel graphics hardware and software, and gain firsthand experience in a world-renowned research organization.

Qualifications

  • Pursuing a Master’s degree or PhD in Computer Science, Electrical Engineering, or a closely related field with a focus on graphics, computer vision, or machine learning.
  • Strong understanding of fundamental graphics rendering concepts and algorithms (e.g., rasterization, ray tracing).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning techniques is highly desirable.
  • Familiarity with programming languages commonly used in graphics and machine learning (e.g., C++, Python) is essential.
  • Excellent analytical and problem-solving skills with a passion for research and innovation.
  • Effective communication and collaboration skills to thrive in a team environment.

Responsibilities

  • Participate in research projects that explore the intersection of graphics rendering and machine learning techniques.
  • Develop and implement novel algorithms to enhance graphics processing pipelines using machine learning approaches.
  • Conduct research experiments, analyze data, and interpret results to draw meaningful conclusions.
  • Contribute to the creation of technical reports and presentations to effectively communicate research findings.
  • Collaborate with senior researchers and engineers to integrate research outcomes into future Intel graphics products.

Benefits

This internship provides an exceptional chance to gain practical experience in a cutting-edge research environment at Intel Labs. You’ll work alongside leading researchers, tackle challenging problems at the forefront of graphics and machine learning, and contribute to shaping the future of Intel technology.

Location

 Fully Remote – France

Deadline: Unspecified.

Apply Now 

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