
Organizing the world's information and making it universally accessible.
Product Counsel, DeepMind
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Identify and advise on legal considerations across Deep Mind research and product development efforts on a range of legal topics including liability, compliance, and copyright and data issues related to the development and deployment of AI systems and components.
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Monitor and interpret evolving global regulations and compliance requirements, translating legal requirements into actionable technical guardrails for Deep Mind and the industry.
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Partner with cross-functional teams to establish and refine external advocacy positions for existing and forthcoming regulatory regimes for AI, and advise on the implications for Deep Mind research and products.
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Support drafting and discussion of agreements. Evaluate and apply open-source licenses to both incoming and outgoing code and data.
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Advise executive management on risks associated with AI research direction and existing governance frameworks; and present options to mitigate those risks.
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JD, equivalent degree, or equivalent practical experience.
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Admitted to the bar and in good standing or otherwise authorized to practice law (e.g., have registered in-house status) in the state in which the position is located.
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3 years of post qualification experience in private practice or an in-house team.
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Experience partnering with executives and stakeholders on legal matters.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
10件のレビュー
4.5
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
4.2
経営陣
3.8
82%
知人への推奨率
良い点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
改善点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
57,503件のデータ
Mid/L4
Mid/L4 · Accessibility Analyst
1件のレポート
$214,500
年収総額
基本給
$165,000
ストック
-
ボーナス
-
$214,500
$214,500
面接レビュー
レビュー9件
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
最新情報
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News
·
1w ago
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News
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