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Google
Google

Organizing the world's information and making it universally accessible.

AI Research Engineer, Code Search

RoleMachine Learning
LevelMid Level
WorkOn-site
TypeFull-time
Posted3 weeks ago
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  • Partner with agent teams (e.g., Gemini Coder, Duckie, Basecamp) to create sub-agents, tools, RAG solutions and workflows enabling them to do better code exploration.

  • Integrate LLMs, RAG skills to augment code search with features like natural language code search, chat agents.

  • Design, develop, and maintain core features of the Google code search platform, used by thousands of engineers daily.

  • Improve the efficiency and scalability of code search infrastructure, ensuring fast response times and high availability.

  • Analyze user data and conduct A/B testing to measure the effectiveness of new features and identify areas for improvement.

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.

We work to create a seamless and intuitive exploration agent that accelerates development workflows and fosters knowledge sharing across Google.
In this role, you will be at the forefront of next generation code exploration, shaping the future of developer agents, improving the productivity and efficiency of developers and agents across Google, accelerating innovation and product development. You will collaborate with engineers, researchers, and designers across various teams and disciplines, contributing to a critical platform with opportunities for learning, growth, and career development. You will work on a platform that indexes and searches billions of lines of code, serving thousands of Google engineers daily.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.

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages.

  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • Experience in developing and deploying Generative AI agents.

  • Experience with storage systems design, implementation, and management.

  • Experience in natural language processing (NLP), image generation, or other generative AI techniques.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense