💼 About This Role

You'll own deployment and optimization of production TTS systems at Bland, serving millions of real-time voice interactions daily. You'll collaborate with research and engineering to implement inference-optimized TTS models and ensure high availability and low-latency performance. This role offers the chance to scale cutting-edge AI phone agent technology at a fast-growing startup.

🎯 What You'll Do

• Deploy large-scale TTS models for low-latency inference
• Implement post-training techniques like DPO, GRPO, RLHF
• Collaborate on A/B testing and iterative model improvements
• Design best practices for efficient TTS inference and reliability

📋 Requirements

• Hands-on experience deploying large-scale neural TTS models in production
• Deep expertise in TTS inference optimization (quantization, kernel optimization, batching)
• Strong understanding of real-time low-latency audio processing pipelines
• Working knowledge of distributed systems and GPU acceleration

✨ Nice to Have

• Contributions to open-source TTS systems or production audio frameworks
• Prior work in telephony, streaming, or live enterprise communication environments

🎁 Benefits & Perks

• 🏥 Healthcare, dental, vision coverage
• 📈 Meaningful equity in a fast-growing company
• 🛠️ Every tool you need to succeed
• 🏢 Beautiful office in Jackson Square, SF with rooftop views
• 💰 Competitive salary $160K–$250K