Multimodal Generative AI Research Intern
Multimodal Generative AI Research Intern
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1 Vacancy
Job Description
At Bosch Research in Pittsburgh we are seeking a forwardthinking research intern to explore innovative applications of generative AI for signalbased understanding and generation. This role offers the opportunity to develop cuttingedge AI models that transform raw signal data into meaningful outputs enabling semantic understanding of complex environments and activities. The work will involve leveraging stateoftheart techniques in computer vision (CV) natural language processing (NLP) and deep learning for multimodal data.
The internship role will focus on the following responsibilities:
- Design and implement generative AI models for signalbased data combining advanced techniques in computer vision and natural language processing.
- Evaluate the performance of developed models on diverse benchmarks and realworld datasets.
- Document findings and contribute to highimpact publications in leading AI conferences and journals.
Qualifications :
Required Qualification:
- Currently enrolled as a PhD student in Computer Science Electrical Engineering Systems Engineering or a related field.
- Strong foundation in deep learning with expertise in generative AI computer vision and/or natural language processing.
- Proven track record of research contributions including publications in top AI conferences (e.g. ACL EMNLP NeurIPS CVPR ECCV ICCV).
- 2 years of programming experience in Python with proficiency in frameworks like PyTorch or TensorFlow.
- Excellent communication and collaboration skills.
Desired Qualification:
- Experience in processing and interpreting signalbased data (e.g. timeseries sensor data WiFi CSI or other nonvisual modalities).
- Deep understanding of various generative model architectures including diffusion models flowbased models and consistency models along with their practical applications.
- Proven experience in finetuning VisionLanguage Models (VLMs) and Large Language Models (LLMs) for diverse use cases and domainspecific tasks.
- Knowledge of multimodal learning techniques for combining diverse data sources.
- Familiarity with applying generative AI models (e.g. diffusion models) to novel domains.
- Demonstrated ability to innovate and drive impactful research in emerging AI fields.
Additional Information :
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)
The U.S. base salary range for this intern position is $30.00$58.00 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.
Remote Work :
No
Employment Type :
Intern
Employment Type
Intern
