Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

Job Description

The ideal candidate will passionately drive and further advance innovations in the field of artificial intelligence, such as foundation models, graph learning, reinforcement learning and their applications to time series domain with complicated data format, including but not limited to anomaly detection, probabilistic forecasting, knowledge graph, question answering, recommendation system, multimodal learning, generative modelling. The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products. Responsibilities include but not limited to:

• Define and conduct cutting-edge research and engineering projects in AI, including anomaly detection, probabilistic forecasting, knowledge graphs, question answering, recommendation systems, multimodal learning, and generative modeling.
• Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large scale datasets.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

Required Qualification:

• Currently pursuing PhD degree in Computer Science / Systems Engineering or a related technical field.
• Hands-on experience in deep learning and/or AI system topics with focus on at least three of the following areas: anomaly detection, probabilistic forecasting, knowledge graph, question answering, recommendation system, multimodal learning, generative modelling.
• Programming experience in Python, and hands-on experience with common machine learning libraries such as PyTorch, etc.

Desired Qualification:

• Publication record in top venues in machine learning / AI, e.g. AAAI, NeurIPS, ICML, ICLR, SIGKDD, SIGIR, etc.
• Strong communication skills and ability to convey research ideas to a broad audience.
• Strong leadership skills with excellent English communication & teamwork skills.
• Experience working with big data and associated distributed processing tools (e.g., Spark) as well as cloud services (e.g., AWS, Azure)

Additional Information

• On-site Internship
• Duration: 12 weeks

The U.S. base salary range for this intern position is $51.00-$68.00 per hour. 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.

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

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

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