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.