
Organizing the world's information and making it universally accessible.
Software Engineer III, Machine Learning, Android AI
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Design, build, and optimize the end-to-end machine learning systems and models that power android's next-generation AI agent. Translate ambiguous user needs and product goals for agentic AI into well-defined technical problems and Machine Learning (ML) solutions.
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Architect and implement data pipelines for collecting, cleaning, and processing the massive datasets required for training and fine-tuning ML models.
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Lead core machine learning model development and optimization, prioritizing on-device performance and user privacy. Establish evaluation frameworks to ensure AI features are reliable, helpful, and personalized.
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Collaborate closely with engineers, researchers, and product managers to integrate ML models and agentic capabilities into the Android ecosystem.
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Stay at the forefront of advancements in Large Language Models, AI agents, and on-device machine learning, advocate the adoption of new techniques to solve issues.
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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 (Python)
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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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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