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

BASIC QUALIFICATIONS

• Ph.D. or Master student on Computer Science, Electrical Engineering or related fields (Must be a current student or recent graduate – less than 1 year)

• 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 QUALIFICATIONS 

• Publication record in top NLP or machine learning venues (e. g. ACL, EMNLP, AAAI, NeurIPS, ICML). 
• Experience on one or more of the following topics:
  • 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
  • Experience on interpretability and explainability of NLP models

Additional Information

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)