Назад
5 дней назад

Sr. Model Engineer (Voice)

220 000 - 357 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Model Engineer (Voice) (JAX/PyTorch): Building distributed data, training, evaluation, and production systems for Grok Voice with an accent on multilingual, low-latency spoken interactions and large-scale model infrastructure. Focus on optimizing speech-language model training and inference, deploying real-time voice services, and ensuring reliability, audio quality, and compute efficiency.

Location: Palo Alto, California, United States

Salary: $220,000–$357,000 USD per year

Company

xAI is building Super Intelligence across compute infrastructure, Grok models, and applications including Grok Voice.

What you will do

  • Design, build, and maintain distributed data pipelines for real-world and synthetic audio ingestion, processing, and annotation.
  • Develop and optimize distributed training infrastructure for speech-language models in JAX and PyTorch, including supervised fine-tuning and reinforcement learning.
  • Build automated evaluation, testing, experimentation, and A/B systems measuring accuracy, audio quality, latency, and real-time performance.
  • Integrate voice models into production applications and real-time services, defining spoken-interaction specifications and owning deployment from prototype to global scale.
  • Profile and optimize training and inference performance across throughput, latency, memory usage, and compute efficiency.

Requirements

  • Bachelor’s degree in computer science, software engineering, computer engineering, electrical engineering, or another engineering discipline.
  • Production-quality coding experience in Python, PyTorch, JAX, Rust, or C++.
  • 2+ years of experience working with large-scale voice-related products.

Nice to have

  • Experience building and operating large-scale distributed training and inference systems on Kubernetes.
  • Expert-level Python skills and experience 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 with distributed data processing systems such as Spark and Ray.
  • Proactive, self-driven approach and ability to deliver in a fast-paced, high-caliber team.

Culture & Benefits

  • Work on natural, low-latency, multilingual voice interactions across devices in real time.
  • Comprehensive medical, vision, and dental coverage.
  • Equity, 401(k) retirement plan, short- and long-term disability insurance, and life insurance.
  • Additional discounts and perks.

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