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机器学习工程师经理,AI对话平台

机器翻译
查看雇主原标题ML Engineer Manager, AI Conversation Platform

Stripe · Toronto, 加拿大

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

AI 对话平台工程经理

岗位职责

• 推动雄心勃勃的 AI/ML 愿景,造福我们的用户

• 根据业务目标为团队设定技术和流程方向

• 与合作伙伴团队一起头脑风暴并协调产品集成

• 提出新想法并构建原型

• 成为内部和外部更大 ML 社区的重要一员

• 招聘并培养一支世界一流的团队,交付高质量的 ML 系统。

• 指导工程师,帮助他们在职业生涯中成长并保持高标准

任职要求

我们正在寻找对利用 ML 改进产品并让客户满意充满热情的 ML 工程经理。您拥有领导团队开发流式特征管道、构建 ML 模型并将其部署到生产环境的经验,即使这涉及对后端代码进行重大更改。您能从容应对模糊性,喜欢主动采取行动,并且倾向于行动。

最低要求

• 拥有至少 4 年管理 ML 团队的经验

• 拥有担任 Machine Learning Engineer、Applied Scientist 或同等独立贡献者的工作经验。

• 在高增长、高影响力、模糊的环境中以身作则

• 拥有构建和交付 ML 系统的经验。

• 在生产系统工作中对自己和他人坚持高标准。

• 在协作的跨职能环境中茁壮成长

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

Engineering Manager, AI Conversation Platform

岗位职责

• Driving an ambitious vision for AI/ML that benefits our users

• Setting the technical & process direction for the team based on business goals

• Brainstorm and coordinate product integrations with partner teams

• Proposing new ideas and building prototypes

• Be an integral part of a larger ML community internally & externally

• Hire & develop a world-class team to deliver high-quality ML systems.

• Coach engineers to help them grow in their careers and maintain a high bar

任职要求

We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements

• Have at least 4 years of experience managing ML teams

• Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.

• Lead by example in high-growth, high-impact, ambiguous environments

• Have experience building & shipping ML systems.

• Hold yourself and others to a high bar when working with production systems.

• Thrive in a collaborative cross-functional environment

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