Software Engineer, Applied ML (Discovery, Recommendation & Search)
职位介绍
Build and optimize ML-enabled backend systems powering discovery, recommendation, and search surfaces.
Collaborate cross-functionally with product, data science, and data platform teams to design and implement ML models and infrastructure—from ingestion to training and serving.
Develop high-performance services in a modern typed language, with robust CI/CD pipelines and automated testing.
Operate and optimize ML deployments in cloud environments (GCP, AWS, or Azure) and manage GPU/TPU resources for production workloads.
Work with vector databases and feature storage to support fast, scalable recommendations and AI-assisted search.
Bring a proactive, results-driven mindset to ship impactful features quickly in a fast-paced environment.
Collaborate cross-functionally with product, data science, and data platform teams to design and implement ML models and infrastructure—from ingestion to training and serving.
Develop high-performance services in a modern typed language, with robust CI/CD pipelines and automated testing.
Operate and optimize ML deployments in cloud environments (GCP, AWS, or Azure) and manage GPU/TPU resources for production workloads.
Work with vector databases and feature storage to support fast, scalable recommendations and AI-assisted search.
Bring a proactive, results-driven mindset to ship impactful features quickly in a fast-paced environment.
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?
登录相似职位
其他可能适合您的职位。
? Software Engineer, Gen AI & Web Apps ? Senior Software Engineer - Big Data/GenAI ? Director, Software Engineering — Marketing Intelligence (AI & Agents) ? Principal Software Engineer, ML Flywheel Technical Lead ? Software Engineer (MLOps) - H/F/NB ? Software Engineer, Trustworthy AI - Enterprise AI
远程办公Partial remote
城市Redwood City, US