We are looking for highly motivated students (spring/summer/fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI including but not limited to:
- large language model vision language model
- AI efficiency and
- security of agentic AI with emphasis on formal modeling and formal verification approaches
This internship role will focus on the following responsibilities:
- Design development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
- Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions.
- Clean efficient and well-documented implementation of new AI methods.
- Code contributions to our deep learning framework.
- Publish at leading AI conferences and ultimately shape the future of Bosch products and services.
Qualifications :
Required Qualification:
- Pursuing MS or PhD degree in Computer Science / Engineering Data Science Electrical Engineering or Mathematics.
- Strong foundation and broad knowledge of Machine Learning algorithms and principles.
- Programming experience in Python PyTorch.
- Excellent communication skills.
Desired Qualification:
- Experience with working on Machine Learning or Deep Learning projects.
- Established publication record in Machine Learning or Computer Vision or Natural Language Processing or related fields.
- Good coding practices ability to write efficient and readable code.
- Good writing and presentation skills.
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
We are looking for highly motivated students (spring/summer/fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI including but not limited to:large language model vision language model AI efficiency andsecurity of agentic AI wit...
We are looking for highly motivated students (spring/summer/fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI including but not limited to:
- large language model vision language model
- AI efficiency and
- security of agentic AI with emphasis on formal modeling and formal verification approaches
This internship role will focus on the following responsibilities:
- Design development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
- Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions.
- Clean efficient and well-documented implementation of new AI methods.
- Code contributions to our deep learning framework.
- Publish at leading AI conferences and ultimately shape the future of Bosch products and services.
Qualifications :
Required Qualification:
- Pursuing MS or PhD degree in Computer Science / Engineering Data Science Electrical Engineering or Mathematics.
- Strong foundation and broad knowledge of Machine Learning algorithms and principles.
- Programming experience in Python PyTorch.
- Excellent communication skills.
Desired Qualification:
- Experience with working on Machine Learning or Deep Learning projects.
- Established publication record in Machine Learning or Computer Vision or Natural Language Processing or related fields.
- Good coding practices ability to write efficient and readable code.
- Good writing and presentation skills.
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
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