Senior Voice AI Engineer - Large-Scale, Real-Time ML

SpaceX Super Intelligence; Palo Alto (CA); On-site; USD 220,000 - 357,000; Full time

Benefits offered by this job

Equity

Medical, vision, dental coverage

401(k) retirement plan

Disability and life insurance

Job summary

SpaceXSI is seeking a Senior Model Engineer, Voice to design and run software systems behind Grok Voice. You will handle large-scale data pipelines, distributed training, and production deployment for multilingual spoken interactions across devices in real time.

You will own end-to-end systems from data processing to evaluation, with a focus on stability, low latency, and reliability, using Python, PyTorch, JAX, and C++ in a fast-paced team.

Qualifications

• Bachelor's degree in CS/engineering or related field.
• Production-quality code experience in Python, PyTorch, JAX, Rust or C++.
• 2+ years of experience with large-scale voice related products.

Responsibilities

• Design, build, and maintain large-scale distributed data pipelines for audio data.
• Build and optimize distributed training infrastructure for speech-language models in JAX and PyTorch.
• Develop automated evaluation systems measuring accuracy, latency, and real-time performance.
• Integrate voice models into production apps and deploy at global scale with low latency.
• Profile and optimize training and inference performance (throughput, memory, compute).

Skills

Python

PyTorch

JAX

Rust

C++

Large-scale voice products

Education

Bachelor's degree in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering or related engineering

Tools

Kubernetes

Spark

Ray

Job description

SpaceXSI is seeking a Senior Model Engineer, Voice to design and run software systems behind Grok Voice. You will handle large-scale data pipelines, distributed training, and production deployment for multilingual spoken interactions across devices in real time.

You will own end-to-end systems from data processing to evaluation, with a focus on stability, low latency, and reliability, using Python, PyTorch, JAX, and C++ in a fast-paced team.