
Organizing the world's information and making it universally accessible.
Software Engineer III, Generative AI Safety, Core
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Design, build, and maintain components of our account-centric abuse detection systems on the generative AI safety platform.
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Develop and implement classification models and rules to identify policy-violation and abusive behavior in near real-time, leveraging account-level signals.
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Collaborate with other engineers to integrate detection systems with enforcement mechanisms like strikes and limited disables.
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Analyze data to understand abuse patterns and improve the effectiveness of our detection methods.
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Write and test production quality code, and participate in code reviews.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Deep Mind Abuse Detection team, a key part of core user protection, works in close collaboration with Deep Mind to pioneer account-centric detection technologies for the innovative generative AI safety platform. As Deep Mind rapidly expands its generative AI offerings, our team was formed to address the critical need for dedicated defenses against product misuse, shifting from reactive measures to proactive, actor-focused prevention. Our mission is to ensure a friction-free experience for benign users, provide guidance for those who are confused, and implement proportionate actions for malicious actors.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with software development in C++, Python or Java programming languages, or 1 year of experience with an advanced degree.
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2 years of experience in data analysis in SQL or Python etc.
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1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
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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
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