Sr. Model Engineer, Voice
Posted 5 days ago · Listed through Dec 7
Pay by Experience Level
Actual pay depends on experience, certifications, and employer.
About This Job
Description
SR. MODEL ENGINEER, VOICE
You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.
Design, build, and maintain large-scale distributed data pipelines that ingest, process, and annotate real-world and synthetic audio, so the training and evaluation systems get reliable, high-quality data
Build and optimize the distributed training infrastructure and software for speech-language models in JAX and PyTorch, including the systems that run supervised fine-tuning and reinforcement learning at scale
Build automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance, plus the experimentation infrastructure used to validate every model release
Integrate voice models into production applications and real-time services, write the technical specifications for spoken interactions, and own deployment from prototype to global scale with a focus on stability, low latency, and reliability
Profile and optimize system performance across training and inference, including throughput, latency, memory use, and compute efficiency
Bachelor's degree in computer science, software engineering, computer engineering, electrical engineering, or another engineering discipline
Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
2+ years of experience working with large scale voice related products
Experience building and running large-scale distributed training and inference systems on Kubernetes
Expert-level Python, writing clean, efficient, production-quality code for large-scale systems
Experience implementing and optimizing model training and inference software in JAX or PyTorch
Experience building automated testing, evaluation, and A/B experimentation pipelines for production systems
Hands-on experience building distributed data processing systems with tools like Spark and Ray
A proactive, self-driven attitude and the ability to deliver in a fast-paced, high-caliber team
$220,000 - $357,000 USD