
Organizing the world's information and making it universally accessible.
Software Engineer III, AI/ML, Search
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Write product or system development code.
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Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
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Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
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Prototype, evaluate, and productize Search’s framework in the context of Search’s AI mode and future agentic AI products.
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
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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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Experience in application security patterns including web application security, service mesh, and mobile security.
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Experience in Generative AI tools, and AI content safety, security risks and user harm.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense