Member of Technical Staff (Voice Model)

Join the Grok Voice Model team as a Member of Technical Staff. You will be responsible for designing and executing large-scale speech data curation and processing pipelines, working on pre-training and post-training of speech-language models, building a comprehensive evaluation framework, and integrating voice models into applications. This role requires proficiency in pre-training and post-training speech-language models, experience with large-scale distributed training and inference systems, and hands-on experience processing large-scale datasets.

• 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.
• Work on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques.
• Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments.
• 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
• Proactive, self-driven attitude — ready to grind in a fast-paced, high-caliber team to deliver outstanding voice AI experiences
• Experience building or working with large-scale distributed training and inference systems on Kubernetes
• 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
• Hands-on experience processing large-scale datasets using tools like Spark and Ray for cleaning, augmentation, and feature extraction
• Python expert with deep proficiency in writing clean, efficient code for AI/ML systems