豆包语音大模型评测工程师 - Data语音
Core
Build and maintain evaluation systems, metrics, and automated workflows for large-scale voice and multimodal AIGC models to ensure delivery quality and support product iteration.
Role type
Senior IC machine-learning evaluation engineer (voice & multimodal)
Builds
Automated evaluation platforms, test suites, and quality gates for ASR, TTS, and end-to-end speech models
Domain
AI/ML, Voice Technology, Multimodal AIGC
Deliverable
production ML models
Required skills
Model evaluation design, ASR/TTS/ALM expertise, Python engineering, Data analysis, Root cause analysis, Automation scripting
Preferred skills
PyTorch, AI Coding tools, CLI/Agent frameworks, End-to-end S2T/S2S knowledge
Technologies
PyTorch, Python, CLI, Agent frameworks
Responsibilities
Design evaluation metrics and test sets for voice models; Build automated evaluation pipelines and platforms; Analyze evaluation data to identify model gaps and drive optimization; Collaborate with algorithm and product teams to close quality issues.
Seniority
Mid-level, hands-on IC