Software Engineer - Voice Model
$150k - $450k • Palo Alto, CA
Posted 5d ago
Job Location
Palo Alto, CA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The Grok Voice Model team is building the world's best voice AI, delivering smooth, natural, low-latency spoken interactions that are expressive, multilingual, and reliable across devices and real-time scenarios. The team owns the full training pipeline, from massive data curation and premium audio processing to frontier speech-language pre-training and intensive post-training to push quality, speed, and stability to the limit. The goal is to make talking to AI feel like conversing with a charming, kind, and knowledgeable person, and exceptionally smart, execution-oriented engineers are sought to achieve this.
Responsibilities
- Design and execute large-scale speech data curation and processing pipelines, including data collection, synthetic data generation, and automated annotation.
- Work on pre-training and post-training of speech-language models to enhance accuracy, factuality, natural spoken style, and multilingual fluency.
- Build and iterate a comprehensive evaluation framework covering objective metrics, human preference studies, and experimentation infrastructure.
- Integrate voice models into applications and real-time environments, defining spoken interaction specifications and managing the full lifecycle from prototype to global-scale deployment.
Requirements
- Expertise in Python 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.
- Proficiency in pre-training and post-training speech-language models using JAX/PyTorch.
- Ability to set up and run rigorous evaluation pipelines, including objective metrics, human preference studies, and A/B testing.
- Experience building or working with large-scale distributed training and inference systems on Kubernetes.
- Proactive, self-driven attitude with strong prioritization skills and a willingness to grind in a fast-paced team.
Benefits
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks