Senior Voice ML Engineer — Real-Time Multilingual AI

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

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

401(k) retirement plan

Disability insurance

Life insurance

Employee discounts

Job summary

SpaceXSI in Palo Alto is seeking a Sr. Model Engineer, Voice to design, build, and run the software systems behind Grok Voice, delivering multilingual spoken interactions in real time across devices.

You will own the full stack from data processing to deployment, with emphasis on stability, low latency, and scalable production. The role requires advanced Python, PyTorch, and JAX skills, plus experience with distributed training and inference.

Qualifications

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

Responsibilities

• Design, build, and maintain large-scale distributed data pipelines for real-world and synthetic audio.
• Build and optimize distributed training infrastructure for speech-language models in JAX and PyTorch.
• Create automated evaluation and testing systems measuring accuracy, audio quality, latency, and real-time performance.
• Integrate voice models into production applications and deploy from prototype to global scale with high reliability.
• Profile and optimize system performance across training and inference for throughput and latency.

Skills

Python

PyTorch

JAX

Rust

C++

Large-scale voice products

Education

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

Tools

Kubernetes

Spark

Ray

Job description

SpaceXSI in Palo Alto is seeking a Sr. Model Engineer, Voice to design, build, and run the software systems behind Grok Voice, delivering multilingual spoken interactions in real time across devices.

You will own the full stack from data processing to deployment, with emphasis on stability, low latency, and scalable production. The role requires advanced Python, PyTorch, and JAX skills, plus experience with distributed training and inference.