Artificial Intelligence / Machine Learning - Intern

Requirements

• Knowledge in machine learning and deep learning, notably in Foundation Model AI tooling, ADAS, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.
• Familiar with major machine learning platforms like PyTorch.
• Strong background in math and statistics is a plus.
• Strong interpersonal, communication, and teamwork capabilities.
• Equal Opportunity Employer, including disability / veterans
• *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
• 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)
• For more information on our culture and benefits, please visit:
• Culture and Benefits | Bosch in the USA

Additional Information

During this internship, you will conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI . This includes specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning. Applications span Bosch's AIoT (AI+IoT) business domains such as ADAS, connected vehicles, Industry 4.0, IoT, and car multimedia. A few of your additional responsibilities will include: Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms. Document and disseminate research findings through high-caliber publications and/or patent submissions. Required Qualifications: Bachelor's students in Computer Science or a related field 1+ years of hands-on experience, or an equivalent engineering background Proficiency in one or more programming languages commonly used in machine learning (e.g., Python). Minimum GPA of 3.0

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