Member of Technical Staff - Multi-Modal, Audio

The role

You will build and scale data pipelines, design evaluation systems, and fine-tune audio models for customer use cases. This role involves contributing production code to the core audio repository and supporting experimentation under hardware constraints.

What you will do

• Build and scale data pipelines for audio model training
• Design, implement, and maintain evaluation systems
• Fine-tune and adapt audio models for customer-specific use cases
• Contribute production code to the core audio repository
• Support experimentation under real hardware constraints

Required qualifications

• Strong programming fundamentals with demonstrated ability to write clean, maintainable, production-grade code
• Experience building and shipping production ML systems beyond model training
• Proficiency in PyTorch
• Familiarity with distributed training frameworks (DeepSpeed, FSDP, or similar)
• Track record of collaborating effectively in shared codebases with high engineering standards

Nice to have

• Direct experience with audio/speech models (ASR, TTS, vocoders, diarization, or speech-to-speech systems)
• Experience designing and running large-scale training experiments on distributed GPU clusters
• Open-source contributions that demonstrate code quality and engineering judgment

Benefits

• Competitive base salary with equity
• 100% of medical, dental, and vision premiums for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO
• Company-wide Refill Days throughout the year

About the company

Spun out of MIT CSAIL, liquid-ai builds general-purpose AI systems that run efficiently across deployment targets. They partner with enterprises across consumer electronics, automotive, life sciences, and financial services.