Loading...
Mid LevelFull-timeAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML Engineer focused on Text To Speech (TTS) systems to join our team at Bland.com. This role involves deploying, optimizing, and maintaining production TTS systems that serve millions of real-time voice interactions daily.
Key Responsibilities
- →Deploy and optimize large-scale TTS models into production environments for reliable, low-latency inference.
- →Implement and refine post training techniques like DPO, GRPO, and RLHF to maximize throughput and audio quality.
- →Collaborate with cross-functional teams to ensure seamless rollout, A/B testing, and iterative improvement of production models.
- →Maintain high availability and scalable infrastructure for multi-speaker, expressive, and controllable TTS use cases.
- →Design and document best practices for efficient TTS inference and system reliability.
Requirements
- ✓Hands-on experience deploying large-scale neural TTS models in cloud or on-prem production settings.
- ✓Deep expertise in TTS inference optimization, including quantization, kernel optimization, and batching strategies.
- ✓Strong understanding of real-time, low-latency audio processing pipelines.
- ✓Working knowledge of distributed systems, GPU acceleration, and scalable production infrastructure.
- ✓Ability to diagnose and resolve quality, performance, and reliability issues in deployed voice systems.
- ✓Comfortable working in fast-paced, startup environments and taking full ownership from deployment through system maintenance.
Free to sign up. Takes 30 seconds.
