Job Description

• Develop state-of-the-art Audio AI solutions using combination of classical signal processing and machine/deep learning-based approaches.
• Research and develop solutions for audio foundation models, audio reasoning, generative audio, explainable audio AI, few-shot learning for rare sound events, anomaly detection for machine health monitoring, domain adaptation, and multi-modal sensing.
• Collaborate with others to integrate audio AI modules into the prototype systems.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

Required

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

Preferred

• Knowledge of digital signal processing principle and methods (multi-channel audio processing, DFT, filter-banks).
• Publication record in top machine learning and audio analytics venues (e.g., ICASSP, Interspeech, AAAI, ICML).
• Experience with HPC platforms and job managers (Slurm, IBM LSF).

Additional Information

• On-site Internship
• Duration : 12 weeks, 40 hours/week

The U.S. base salary range for this intern position is $36.00-$58.00 hourly. 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)