Applied ML Engineer
Core
Own and streamline the research-to-production pipeline, turning research checkpoints into production-grade models that serve at scale.
Role type
Senior IC Applied ML Engineer (Speech/Audio)
Builds
Production ML models for speech-to-text, text-to-speech, and voice agents
Domain
Voice AI / Speech Recognition / Audio Processing
Deliverable
production ML models
Required skills
Python, PyTorch, ML pipeline orchestration, model deployment, inference optimization, distributed systems, GPU compute
Preferred skills
Speech/audio domain expertise, automated model evaluation/gating, hybrid cloud/on-prem infrastructure, model quantization/distillation
Technologies
PyTorch, Python, GPU clusters, Cloud environments
Responsibilities
Define repeatable paths from research checkpoints to deployed services; Partner with scientists to productionize models; Build tooling for training, evaluation, packaging, and deployment; Design automated model release gates; Optimize models for efficient inference and latency; Establish benchmarking and validation across the lifecycle; Build feedback loops to research.
Seniority
Senior, hands-on IC
