Audio ML Engineer - Real-Time Speech & Sound (Equity)

AI Chopping Block, Inc.; San Francisco (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Beam is seeking an experienced Audio ML lead to define roadmaps, coordinate cross-functional teams, and integrate ML models into the Starline audio system. You will work with researchers, engineers, and developers to deliver groundbreaking audio features with scalable C++ infrastructure.

The role requires 8+ years in software and 5+ years in audio/speech ML, focusing on speech enhancement, quality assessment, and real-time processing. Strong collaboration and communication are essential.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years with audio or speech processing ML models.
• 5 years in speech enhancement, audio quality assessment, processing, and sound separation.
• 5 years with C++ and Python development and integration.

Responsibilities

• Define the roadmap and priorities for the Audio ML effort; coordinate workstreams.
• Train, evaluate, and fine-tune models for speech tasks; maintain audio infra in C++.
• Optimize model inference for real-time, low-latency on CPU/GPU.
• Design data pipelines for training data and labeling workflows.
• Participate in on-duty rotations to diagnose and triage audio bugs.

Skills

C++

Python

Audio processing

Speech ML

Real-time systems

Team collaboration

Education

Bachelor’s degree or equivalent practical experience

Master’s degree (engineering/science) preferred

PhD in related field preferred

Tools

TFRoomSim

JAX

Keras

CUDA

Job description

Google Beam is seeking an experienced Audio ML lead to define roadmaps, coordinate cross-functional teams, and integrate ML models into the Starline audio system. You will work with researchers, engineers, and developers to deliver groundbreaking audio features with scalable C++ infrastructure.

The role requires 8+ years in software and 5+ years in audio/speech ML, focusing on speech enhancement, quality assessment, and real-time processing. Strong collaboration and communication are essential.