Logo of Huzzle

Intern, ML Algorithms

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Santa Clara

Requirements

  • Knowledge of Deep Reinforcement Learning, optimization and search techniques.
  • Knowledge of statistical learning—e.g., deep neural networks, graph neural networks and sequence processing. Familiarity with ML architectural designs.
  • Familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.
  • Research experience in one of the following knowledge areas: Matrix processing algorithms or matrix accelerator design experience; CPU architecture, computer organization, design space exploration; AutoML; Computer Vision; Automatic Speech Recognition or related areas; Natural Language Processing or related areas.
  • Agility in learning and working with multiple tools, including research and commercial tools.
  • Experience in developing software in Linux/Unix environments.
  • Well organized, detail-oriented team player.
  • Good verbal and written communication skills.
  • Ph.D or M.S. in Computer Engineering or Computer Science or closely related majors.

Responsibilities

  • Work with the machine learning branch of our CPU design team and focus on one of the following:
  • Help explore, develop and publish research results of machine learning and statistical learning in the domain of matrix processing.
  • Help explore and develop applications of ML and statistical learning in various aspects of HW design process – e.g., design space exploration, verification and instruction set generation, chip physical layout, etc. Collaborate with fellow machine learning research engineers on a regular basis on general ML topics such as GNNs, etc., with potential application in system and HW design pipelines.
  • Help explore and develop research results of machine learning and statistical learning in various domains such as computer vision, automatic speech recognition, or natural language processing.
  • Publish results in top computer science conferences.

Shaping the Future

Telecommunications
Industry
201-500
Employees
2001
Founded Year

Mission & Purpose

Founded in 2001, Futurewei Technologies is dedicated to pursuing openness in Research & Development (R&D) by embracing Open Innovation Model. We strive to share ideas and knowledge with technology communities to open and new business opportunities. Futurewei maintains ongoing, in-depth collaboration with forward-thinking companies around the world in multiple domains. Our experts have been actively engaged in standard programs throughout these past two decades. We are active in open-source communities as part of our ongoing efforts to build out the industry and cultivate an ecosystem that promotes shared success, we participate the next generation standards for wireless and networks; and we building open ecosystems through open app platforms for ICT systems.