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Machine Learning for Natural Language Processing- Intern

Bosch Group

Machine Learning for Natural Language Processing- Intern

Sunnyvale, CA
Internship
Paid
  • Responsibilities

    Job Description

    • Research and develop state-of-the-art machine learning models for natural language processing tasks including information extraction, question answering
    • Collaborate with mentors and other colleagues to integrate the developed methods into prototype systems for Bosch applications
    • Summarize research findings in high-quality NLP conference papers (e.g., ACL, EMNLP, AAAI) and/or patent submissions
  • Qualifications

    Qualifications

    BASIC QUALIFICATION:

    The ideal candidate is familiar with the following skill sets:

    • Strong background in natural language processing, machine learning and related fields
    • Hands-on experience of developing natural language processing models
    • Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits
    • Good communication and team-working skills
    • Proficient with Python programming

    _PREFERRED QUALIFICATION: _

    • Publication record in top NLP or machine learning venues (e.g. ACL, EMNLP, AAAI, NeurIPS, ICML).
    • Experience on domain-specific NLP tasks
    • Experience on weakly supervised learning, semi-supervised learning and/or active learning
    • Experience on transfer learning/domain adaptation and/or data augmentation

    Additional Information

    • MAJOR(S): Computer Science, Electrical Engineering or related fields
    • DEGREE LEVEL: Ph.D. or Master – Must be a current student or recent graduate (less than 1 year)
    • START DATE: Summer 2021
    • DURATION: 3 – 6 months

    By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

    BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

    • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
    • AWIM (A World in Motion)