Voice AI Model Engineer - Scalable Speech Systems

Maven Ventures; Palo Alto (CA); On-site; USD 150,000 - 450,000; Full time

Benefits offered by this job

Equity

Medical, vision, and dental coverage

401(k) retirement plan

Short & long-term disability insurance

Life insurance

Discounts and other perks

Job summary

SpaceXSI is seeking a Model Engineer, Voice to design, build, and run the software systems behind Grok Voice, delivering multilingual, real-time spoken interactions across devices. You will own the full stack from data processing to deployment, ensuring stability, low latency, and scalability for global-scale applications.

The role emphasizes production-quality Python/C++ tooling, distributed systems, and cutting-edge frameworks like PyTorch and JAX, with a focus on robust, efficient training

Qualifications

• Bachelor's degree in computer science or engineering.
• Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.

Responsibilities

• Design, build, and maintain large-scale distributed data pipelines for audio data used in training.
• Build and optimize distributed training infrastructure and software for speech-language models.
• Create automated evaluation and testing systems for model quality and latency.
• Integrate voice models into production applications and deploy at global scale with low latency.
• Profile and optimize system performance across training and inference.

Skills

Python

PyTorch

JAX

Rust

C++

Kubernetes

Spark

Ray

Distributed training

A/B experimentation

Education

Bachelor's degree in computer science, software engineering, computer engineering, electrical engineering, or another engineering discipline

Tools

Grok Voice infrastructure

Large-scale data pipelines

PyTorch

JAX

Job description

SpaceXSI is seeking a Model Engineer, Voice to design, build, and run the software systems behind Grok Voice, delivering multilingual, real-time spoken interactions across devices. You will own the full stack from data processing to deployment, ensuring stability, low latency, and scalability for global-scale applications.

The role emphasizes production-quality Python/C++ tooling, distributed systems, and cutting-edge frameworks like PyTorch and JAX, with a focus on robust, efficient training