岗位大厅/Legal/Founding Legal Engineer

Grubel · 68天前 · 来源 ATS 官方

Founding Legal Engineer

Munich办公方式未标注
全职Legal
薪资未披露

🛡 岗位真实性核验

Ghost Job 检测

⏳ 岗位入库已 13 天

🛡 申请链接 2026-10-26 核验有效

📈 该公司近 30 天发布 3 个岗位——招聘节奏正常

信号由后台自动核验生成,仅供参考;判断权在你。设计案:GHOST-JOB-P1

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必备技能

AIAgentic AIGo-to-MarketMistral产品机器学习

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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职位描述

ABOUT GRUBEL

Grubel is a research lab that builds AI for high-stakes knowledge work, starting with law. Legal matters require specialized expertise, and each one involves its own facts, practices, parties, and institutions. General-purpose AI applies the same system to every legal matter, varying only what goes into a limited context window.

To meet the depth and diversity of legal work, we let every matter build its own AI: engineer the right data for the matter, adapt the model and agent to it, and track what improves. We combine the three into a matter-specific improvement loop that runs until the system delivers what the matter demands.

Grubel was founded in 2026 by Moritz Hardt, director at the Max Planck Institute for Intelligent Systems and formerly a UC Berkeley professor and Google Brain researcher; and Reinhard Heckel, professor of machine learning at the Technical University of Munich, on leave to build Grubel. The founding team includes engineers with PhDs in computer science and experience in foundation-model pretraining at Mistral and legal AI research at Thomson Reuters. The lab has offices in Munich and Tübingen.

Point Nine led an oversubscribed pre-seed funding round with backing from leading AI researchers and founders, including Jeff Dean, Chris Ré, Ion Stoica, and Harvey co-founders Gabe Pereyra and Winston Weinberg.

ABOUT THE ROLE

You are a skilled lawyer ideally with experience on building legal AI software eager to shape the technological future of your field. As a Founding Legal Engineer, you impact how we scope, build, and evaluate AI systems for complex legal work, and how these systems enter legal practice.

Working directly with Grubel’s founding team, you will shape our research, development, and product: Translate complex legal processes into agentic workflows, evaluate our systems for legal soundness and utility, and work with customers to set our product and engineering standards. You need not write code, but you’re passionate about understanding our technology deeply. Working in a fast-moving team at the intersection of AI research, legal practice, and technology excites you.

WHAT YOU’LL WORK ON

- Designing realistic tasks, datasets, and evaluation rubrics for training and evaluation of our legal AI systems

- Translating complex legal processes into agentic workflows together with our researchers and engineers

- Evaluating system outputs for legal accuracy, usefulness, and failure modes

- Leading enterprise pilots and implementations

- Supporting customer discovery, demonstrations, and go-to-market initiatives

YOU MAY BE A GOOD FIT IF

- You have law degree and strong academic record

- You have experience practicing law—whether at a law firm, in-house, or in another legal setting

- You are proactive, self-directed, and comfortable taking broad ownership at an early-stage company

- You are curious about how AI systems work and comfortable working closely with researchers and engineers

LOGISTICS

- Munich or Tübingen. We value working together in person, prefer candidates based near one of our offices, and expect at least one day per week in the office. We plan to establish a Zurich office in 2027.

- Full time employment

- Competitive salary plus a stock option grant in Grubel, Inc., our US parent company.

🈯 翻译这份 JD · 红灯 0 / 黄灯 1 / 绿灯 1点开 ▾
可以投——没有红灯,黄灯问题放进面试清单问清即可。
competitive salary → 形容词,不是数字要问的问题:这个岗位的预算范围是多少?
plus → 加分项,不是门槛
词典只标"常见信号",不对公司下结论——红灯 = 面试里该当面确认的问题。想自己翻别的 JD:JD 翻译器 →
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公司 · Company

Grubel

Robotics / Embodied AI

Munich来源:ATS 官方

⚑ 岗位信息收录自公开招聘页(ATS 官方),以雇主官网为准