Liquid AI
Member of Technical Staff - Multi-Modal, Audio
San Francisco · Staff+
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About the role
- If you want high ownership on rare technical problems in a small, elite team where your code ships, this is the role.
Responsibilities
- Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.
- Our Audio team is building frontier speech-language models that handle STT, TTS, and speech-to-speech in a single architecture.
- This role sits at the center of applied audio model development, working directly with the technical lead to ship production systems that run on-device under real-time constraints.
- You will own critical workstreams across data pipelines, evaluation systems, and customer deployments.
Requirements
- Strong programming fundamentals with demonstrated ability to write clean, maintainable, production-grade code
- Proficiency in PyTorch and 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
Compensation
- Competitive base salary with equity in a unicorn-stage company
- We pay 100% of medical, dental, and vision premiums for employees and dependents
- 401(k) matching up to 4% of base pay
Benefits
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Company info
- We are scaling rapidly and need exceptional people to help us get there.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.