Job Description

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

Our global research on human-machine intelligence focuses on Big Data Visual Analytics, Explainable AI (XAI), Audio Analytics, Natural Language Processing, Knowledge Engineering, XR/AR/MR, 3D Perception, and Cloud Robotics. We develop intelligent and trustworthy AIoT solutions to enable inspiring UX for Bosch products and services in application areas such as autonomous driving, driver assistance systems (ADAS), robotics, smart manufacturing, health care, smart home and building solutions.

As a part of our global research unit, our Natural Language Processing and Knowledge Representation & Reasoning group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of natural language processing and understanding, knowledge representation and reasoning, question answering, information retrieval, dialogue management, knowledge-based assistance, speech processing, text/data to code generation, and etc. We work on solutions to derive useful information and knowledge from textual/tabular data, and enable natural, intuitive and intelligent personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, ISWC, AAAI.

Job Description

• Research and develop state-of-the-art machine learning models for natural language processing tasks including code generation, task decomposition, information extraction
• 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 NLP models with Reinforcement Learning
• 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, NAACL, TACL).
• Experience on domain-specific NLP tasks
• Experience on language generation tasks specifically on Code generation
• Experience on weakly supervised learning, semi-supervised learning and/or active learning
• Experience on API guided text generation

Additional Information

The U.S. base salary range for this intern position is $37.00-$66.00 hourly. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.