Software Engineer - Voice Model

Highlights

• Build the world's best voice AI for natural, low-latency spoken interactions.
• Own full training pipeline from data curation to pre-training and post-training.
• Integrate voice models into real-time apps for global-scale deployment.

What they offer

• Equity
• Comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Discounts and perks

Ideal candidate

Execution-oriented builder who thrives in small, high-caliber teams and loves crafting delightful conversational experiences. Curious, proactive, and driven by excellence in voice AI.

Requirements

• 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.
• Proactive, self-driven attitude — ready to grind in a fast-paced, high-caliber team to deliver outstanding voice AI experiences.