Generative AI Support Intern
Location
Sunnyvale, CA | United States
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 ( 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, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Originating from the AI research in Silicon Valley, our
Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, NeurIPS, IEEE VIS, TVCG, AAAI, ICML, SIGKDD, ICASSP, Interspeech, and IEEE Signal Processing Magazine.
Job Description - Conduct in-depth research and exploration of Generative AI tools to comprehensively analyze their capabilities, limitations, and potential applications.
- Evaluate existing Generative AI tools to determine their effectiveness in addressing specific work efficiency challenges.
- Assist in Generative AI research and development efforts by conducting experiments, analyzing results, and providing insights to enhance techniques.
- Stay abreast of the latest advancements in Generative AI, contributing to our research knowledge base.
- Prepare comprehensive reports, documentation, and presentations to effectively communicate research findings and recommendations.
Qualifications Required: - Currently enrolled in a top-tier undergraduate program in Computer Science or a related field (ex. Computer Engineering, Mathematics).
- Demonstrated ability to deliver exceptional performance in academic or professional settings.
- Familiarity with both open-source and commercial applications of Generative AI, showcasing a broad understanding of different tools and platforms used in the field.
- Proficiency in programming languages such as Python, Java, or C++, with a solid foundation in computer science.
Desired: - Strong interpersonal, communication, and teamwork capabilities, enabling effective collaboration and communication with team members and stakeholders.
- Demonstrated research expertise in AI, evidenced by prior involvement in research projects, publications, or engagement in AI-focused competitions or conferences.
- Strong performance in competitions such as USACO (USA Computing Olympiad) or similar comparable competitions.
- Familiarity with programming languages and frameworks essential for Generative AI research, including TensorFlow, PyTorch, and Keras.
Additional Information The U.S. base salary range for this intern position is $39 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)
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