Voice AI Engineer – Equity, Multilingual, Low-Latency

Pantera Capital; Palo Alto (CA); On-site; USD 150,000 - 450,000; Full time

Benefits offered by this job

Equity

Medical, vision, dental coverage

401(k) retirement plan

Disability insurance

Life insurance

Discounts and perks

Job summary

SpaceXAI is building the world’s best voice AI. Join the Grok Voice Model team to design data pipelines, pre-train/post-train speech-language models, and push accuracy, latency, and multilingual fluency to the limit.

You will work across data curation, synthetic data generation, annotation workflows, and evaluation infrastructure to sustain high-performance, real-time voice experiences. The role requires hands-on engineers who thrive in a curious, fast-paced environment, with strong

Qualifications

• Proficiency in Python for AI/ML systems via clean, efficient code.
• Experience processing large-scale datasets using Spark and Ray.
• Expertise in pre-training and post-training of speech-language models (JAX/PyTorch).
• Ability to set up rigorous evaluation pipelines: metrics, A/B testing, factual checks.

Responsibilities

• Design and execute large-scale speech data curation and processing pipelines for high-quality model training and evaluation.
• Work on pre-training and post-training with supervised fine-tuning and reinforcement learning to ensure accurate, natural multilingual voice responses.
• Build an evaluation framework covering objective metrics, human studies, content factuality, and real-time interaction quality.

Skills

Python

Pre-training & fine-tuning

Evaluation pipelines

Large-scale distributed systems

Communication skills

Tools

Spark

Ray

JAX

PyTorch

Kubernetes

Job description

SpaceXAI is building the world’s best voice AI. Join the Grok Voice Model team to design data pipelines, pre-train/post-train speech-language models, and push accuracy, latency, and multilingual fluency to the limit.

You will work across data curation, synthetic data generation, annotation workflows, and evaluation infrastructure to sustain high-performance, real-time voice experiences. The role requires hands-on engineers who thrive in a curious, fast-paced environment, with strong