Research Intern, Multimodal Learning for Next Generation Applications

Basking Ridge, NJ, US

Futurewei Technologies, Inc.

Futurewei Internet Site

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Job Description:                                                                                     

Candidate will work with a diverse group of researchers, engineers to explore, innovate, and design novel/SOTA new multimodal learning solutions and algorithms for the next generation consumer applications, pushing forward the research and development of cutting-edge machine learning, computer vision and computer graphics technologies. The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA machine learning, computer vision, and computer graphics, and with research and publication experiences in the fields. The candidate will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes; generating high-value IPRs/patents; and publishing our latest findings in well-known conferences and journals.

 Requirements:                                                                                      

  • Proven hands-on experiences with SOTA machine learning algorithms, especially with applications and fine tuning of LLMs and LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.
  • Deep knowledge and hands-on experience in computer vision and computer graphics is a plus.
  • Strong programming skills in python or C / C++ for Windows and/or Linux is required.
  • Experience in working with open-source software frameworks is a plus
  • Good communication skills, both verbal and written
  • Ph.D or M.S. in Computer Science / Electrical Engineering, or related technical disciplines.

 

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Tags: Computer Science Computer Vision Engineering Linux LLMs Machine Learning Open Source Python PyTorch Research TensorFlow

Perks/benefits: Conferences

Region: North America
Country: United States

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