Bachelor's degree in computer science, software engineering, or related field
Production-quality coding experience in Python, PyTorch, JAX, Rust, or C++
2+ years in large-scale voice-related products
Expertise in building distributed training and inference systems
Proficient in automated testing and evaluation pipelines
Responsibilities
Design and maintain large-scale distributed data pipelines for audio processing
Optimize distributed training infrastructure for speech-language models
Develop automated evaluation systems to measure model performance
Integrate voice models into production applications with a focus on reliability
Profile and optimize system performance across training and inference
Benefits
Equity options
Comprehensive medical, vision, and dental coverage
Access to a 401(k) retirement plan
Short & long-term disability insurance
Life insurance
Various discounts and perks
Full 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. RESPONSIBILITIES:
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
BASIC QUALIFICATIONS:
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
PREFERRED SKILLS AND EXPERIENCE:
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
COMPENSATION AND BENEFITS:
$220,000 - $357,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
