Requirements:

• BS/MS/PhD student in Computer Science, Electrical Engineering, or a related field.
• Experience with PyTorch and modern machine learning models.
• Familiar with MLOps, CI/CD, cloud computing, distributed GPU systems, etc.
• Basic understanding of signal processing or speech/audio analysis.
• Ability to debug training issues in deep learning workflows.
• Comfortable reading, summarizing, and implementing ideas from recent ML papers.
• Open-minded attitude toward learning and research.
• Organized and clear coding practices for easy collaboration.

Responsibilities:

• Design and develop MLOps infrastructure in local/cloud environments.
• Manage and optimize ML model inference on GPU servers.
• Build and experiment with ML models for speech/audio tasks.
• Work closely with the team to integrate models into our product.

Nice to Have:

• Research experience or publications in ML or signal processing.
• Familiarity with toolkits like Hugging Face, torchaudio, ESPnet, or SpeechBrain.
• Mandarin communication skills.

Perks:

• Opportunity to co-author research papers and contribute to publications.
• Strong candidates may be considered for future paid RA positions.
• Referrals for PhD program applications.
• Flexible working hours and remote collaboration.
• Work closely with a fast-moving startup team backed by Techstars.