Staff ML Engineer: On-Device Audio & Production

Liquid AI, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

100% health premiums

401(k) matching up to 4%

Unlimited PTO

Refill Days

Job summary

Liquid AI, Inc. in San Francisco is seeking a senior ML engineer to own production systems for audio models, from data pipelines to customer deployments, with real-time, on-device constraints.

You will ship production-grade code, collaborate across teams, and drive end-to-end outcomes. Proficiency in PyTorch and distributed training is essential, with a track record of building scalable ML infrastructure in a fast-moving startup environment.

Qualifications

• Strong programming fundamentals and production-ready code
• Experience shipping production ML systems
• Proficiency in PyTorch and distributed training
• Collaborative in high‑standard codebases

Responsibilities

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

Skills

Production-grade code

End-to-end ownership

On-device / low-latency focus

Rapid learning / adaptation

Audio/speech experience (nice-to-have)

Large-scale distributed training

Open-source contributions (nice)

Tools

PyTorch

DeepSpeed

FSDP

Job description

Liquid AI, Inc. in San Francisco is seeking a senior ML engineer to own production systems for audio models, from data pipelines to customer deployments, with real-time, on-device constraints.

You will ship production-grade code, collaborate across teams, and drive end-to-end outcomes. Proficiency in PyTorch and distributed training is essential, with a track record of building scalable ML infrastructure in a fast-moving startup environment.