Software Engineer, AI/ML, Search Personalization

Responsibilities

The software engineer will develop and optimize code for search personalization systems, including implementing ML solutions and infrastructure. They will also collaborate with peers through design and code reviews while contributing to technical documentation.

Requirements

Candidates must have a bachelor's degree and at least two years of experience in software development with C++. Additionally, they require one year of experience in building production-level recommendation systems and integrating generative AI or LLM interfaces.

Skills

• C++
• Software Development
• Recommendation Systems
• Generative AI
• LLM
• Machine Learning
• Data Structures
• Algorithms
• Information Retrieval
• Distributed Computing
• System Design
• Natural Language Processing
• Model Optimization
• Data Processing
• Search Quality
• Personalization

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

* 2 years of experience with software development in one or more programming
languages, or 1 year of experience with an advanced degree.

* 2 years of experience with software development in C++ programming language.
* 1 year of experience building and deploying recommendation systems models
(retrieval, prediction, ranking, personalization, search quality, embedding)
in production.
* 1 year of experience integrating generative AI tools or LLM interfaces into
workflows.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science or related technical fields.

* 2 years of experience with data structures and algorithms.
* Experience developing accessible technologies.

* Experience developing algorithms (e.g., ranking, recommendations, prediction,
search quality, personalization) and software that generates suggestions
based on various input and output goals.

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 Google Search, we're reimagining what it means to search for information –
any way and anywhere. To do that, we need to solve complex engineering
challenges and expand our infrastructure, while maintaining a universally
accessible and useful experience that people around the world rely on. In
joining the Search team, you'll have an opportunity to make an impact on
billions of people globally.

Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Write product or system development code. 

* 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).

* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.

* Implement solutions in one or more specialized ML areas, utilize ML
infrastructure, and contribute to model optimization and data processing.

* Utilize AI tools and technologies; Be prepared to discuss your knowledge and
use of AI tools during the hiring process.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA