Sr. Model Engineer, Voice

SpaceXSI • Palo Alto, CA

1d • $220,000 - $357,000

About The Position

Join the Grok Voice Model team as a software engineer designing, building, and operating the systems behind Grok Voice. The product delivers natural, low-latency, multilingual spoken interactions across devices in real time. The team owns the engineering stack behind the model, from large-scale data processing and distributed training through production deployment.

Requirements

• 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++.
• At least 2 years of experience working with large-scale voice-related products.

Nice To Haves

• Experience building and running large-scale distributed training and inference systems on Kubernetes.
• Expert-level Python skills and ability to write 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 such as Spark and Ray.
• A proactive, self-driven attitude and ability to deliver in a fast-paced, high-caliber team.

Responsibilities

• Design, build, and maintain large-scale distributed data pipelines to ingest, process, and annotate real-world and synthetic audio for training and evaluation.
• Build and optimize distributed training infrastructure and software for speech-language models in JAX and PyTorch, including systems for supervised fine-tuning and reinforcement learning at scale.
• Build automated evaluation and testing systems to measure accuracy, audio quality, latency, and real-time performance, along with experimentation infrastructure to validate model releases.
• Integrate voice models into production applications and real-time services; write technical specifications for spoken interactions; and own deployment from prototype to global scale, focusing on stability, low latency, and reliability.
• Profile and optimize system performance across training and inference, including throughput, latency, memory use, and compute efficiency.

Benefits

• Equity
• Comprehensive medical coverage
• Vision coverage
• Dental coverage
• Access to a 401(k) retirement plan
• Short- and long-term disability insurance
• Life insurance
• Various other discounts and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior