채용
About the job
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.
In this role, you will join the Analytics Artificial Intelligence (AI) organization (supporting Big Query and Looker products) to design software services for data analytics and AI. You will collaborate with a team to research, explore, and develop solutions that use Machine Learning (ML) and Generative AI for Google Cloud Data Analytics.
You will join our team of experts in Generative AI, Big Query, and ML and design the future of data analytics.
You will have a deep understanding of data, AI, and ML to manage a high performing team.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Lead the design and development of large-scale software services that revolutionize data analytics, with a focus on Machine Learning and Generative AI applications.
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Collaborate closely with technical leads to launch innovative solutions leveraging the power of Large Language Models, Agents and other advanced AI techniques.
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Navigate unexplored areas by prototyping and researching solutions for groundbreaking ML projects in Big Query.
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Engage with product managers and customers to decipher requirements and translate them into actionable technical specifications, while identifying opportunities to integrate ML and Generative AI solutions.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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5 years of experience with software development in one or more programming languages.
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Experience with Python and Java.
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Experience with ML and Generative AI concepts.
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Experience with GCP services, including Data Analytics and Vertex AI.
Preferred qualifications
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Master's degree or PhD in Computer Science or related technical field.
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Experience in Machine Learning especially in generative AI.
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Experience in large-scale data systems.
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Experience in building Gen AI Agents.
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Experience with Data Analytics, Big Query.
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
57,502개 데이터
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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