Sensing AI Research Intern: Multi-Modal ML & Signals

Bosch USA; Pittsburgh (Allegheny County); On-site; USD 22,000 - 45,000; Part time

Job summary

Bosch USA in Pittsburgh is seeking a Multi-modal Sensing AI Research Intern. You will develop state-of-the-art multi-modal models for active and passive sensing and explore representation learning techniques.

Collaborate with researchers to evaluate models on downstream tasks and contribute to high-quality papers or patents. The role suits a PhD student with hands-on experience in PyTorch, Transformers, and signaling methods, eager to apply research to real-world sensing challenges.

Qualifications

• Currently enrolled as PhD student in Computer Science, Electrical Engineering, or related fields.
• 2+ years programming experience, proficiency in PyTorch (Lightning), HuggingFace (transformers), hydra.
• Broad knowledge of machine- and deep-learning algorithms and principles.
• Minimum GPA of 3.0.

Responsibilities

• Develop multi-modal models for radar, ultrasound, acoustic, vibration, and EEG sensing using signal processing and ML.
• Research multi-modal representation learning and modality adaptation with sensor data.
• Collaborate with researchers to evaluate models on downstream applications.
• Summarize results in papers and patent submissions.

Skills

PyTorch Lightning

HuggingFace Transformers

Hydra

Deep learning theory

Education

PhD student in Computer Science, Electrical Engineering, or related field

GPA 3.0 or higher

Tools

Slurm

IBM LSF

Job description

Bosch USA in Pittsburgh is seeking a Multi-modal Sensing AI Research Intern. You will develop state-of-the-art multi-modal models for active and passive sensing and explore representation learning techniques.

Collaborate with researchers to evaluate models on downstream tasks and contribute to high-quality papers or patents. The role suits a PhD student with hands-on experience in PyTorch, Transformers, and signaling methods, eager to apply research to real-world sensing challenges.