Member of Technical Staff - Voice Model en xAI

Palo Alto, CA

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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. You will join the Grok Voice Model team to help build the world’s best voice AI.

Salary

USD 150,000 - 450,000

Requirements

Skills

  • Python expert with deep proficiency in writing clean, efficient code for AI/ML systems.
  • Hands‑on experience processing large-scale datasets using tools like Spark and Ray for cleaning, augmentation, and feature extraction.
  • Proficiency in pre‑training and post‑training speech‑language models using JAX/PyTorch, including supervised fine‑tuning, reinforcement learning, and optimizations for accuracy, factuality, natural spoken style, detail, and multilingual fluency.
  • Ability to set up and run rigorous evaluation pipelines: objective metrics, human preference studies, content factuality checks, and iterative A/B testing to drive model improvements.
  • Experience building or working with large‑scale distributed training and inference systems on Kubernetes.

Responsibilities

  • Design and execute large‑scale speech data curation and processing pipelines, including collection of diverse real‑world audio, synthetic data generation, and automated annotation workflows to enable high‑quality model training and evaluation.
  • Work on pre‑training and post‑training of speech‑language models, with targeted enhancements through supervised fine‑tuning, reinforcement learning, and other techniques to ensure Grok Voice responses are accurate, factually grounded, natural and idiomatic in spoken style, conversational in tone, and fluent across multiple languages.
  • Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments, real‑time interaction quality, and experimentation infrastructure to measure and improve performance.
  • Work closely with product teams to integrate voice models into applications and real‑time environments, define spoken interaction specifications, and handle the full lifecycle from prototype to global‑scale deployment for stable, low‑latency, delightful voice experiences.

Technologies

PythonSparkRayJAXPyTorchKubernetes

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