Staff ML Engineer, Content Mining
在手机上跟进您的申请 Whileresume 免费应用，支持 iPhone 和 Android。
职位介绍
Lead the multi-quarter technical vision and execution for source discovery, content acquisition optimization, and content understanding.
Architect scalable ML systems to extract structured attributes at large scale, including NLP/LLM models and shared features.
Own end-to-end development from training and fine-tuning to production deployment, with focus on latency and cost efficiency (quantization, distillation, caching).
Set engineering standards, review designs, and mentor a 5-person MLE team to raise technical depth and collaboration.
Define robust offline/online evaluation, labeling standards, and automated regressions; run A/B and canary/shadow experiments.
Define and meet SLOs for data quality and model performance; drive impact on user engagement and revenue, and lead incident responses.
Architect scalable ML systems to extract structured attributes at large scale, including NLP/LLM models and shared features.
Own end-to-end development from training and fine-tuning to production deployment, with focus on latency and cost efficiency (quantization, distillation, caching).
Set engineering standards, review designs, and mentor a 5-person MLE team to raise technical depth and collaboration.
Define robust offline/online evaluation, labeling standards, and automated regressions; run A/B and canary/shadow experiments.
Define and meet SLOs for data quality and model performance; drive impact on user engagement and revenue, and lead incident responses.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录您可能也感兴趣的职位
暂无高度相似的职位 — 以下是最新职位。