Senior Software Engineer, AI/ML NLP, Deep Learning, Search Infrastructure

Responsibilities

Design, develop, test, deploy, and maintain software for DeepRank, Google Search’s web-ranking system, including next-generation systems using Gemini and the Gemax Prod framework. Build end-to-end machine learning systems, conduct applied research, improve search quality at scale, and collaborate with teams across Search, Research, Core ML, and Platforms.

Requirements

Requires a bachelor’s degree or equivalent practical experience, at least five years of software development experience, and three years of experience in NLP, deep learning or machine learning, large-scale data processing, and end-to-end ML infrastructure. Preferred qualifications include a master’s degree or PhD, experience with search and AI algorithms, cross-functional work, and technical leadership.

Skills

• Software Development
• Natural Language Processing
• Deep Learning
• Machine Learning
• Large-Scale Data Processing
• Machine Learning Infrastructure
• Model Deployment
• Model Evaluation
• Software Design and Architecture
• Search Quality
• Search Infrastructure
• Data Structures and Algorithms
• Technical Leadership
• Information Retrieval
• Distributed Computing
• Generative AI

Benefits

• Equity
• Benefits

About this role

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in one or more programming
languages.
* 3 years of experience with Natural Language Processing (NLP) concepts,
algorithms, and experience in designing NLP solutions.

* 3 years of experience with deep learning, machine learning, and large-scale
data processing.
* 3 years of experience testing, maintaining, or launching software products,
and 1 year of experience with software design and architecture.
* 3 years of experience with end-to-end Machine Learning infrastructure (e.g.,
model deployment, model evaluation, optimization, data processing,
debugging).

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science, or related technical field.
* 5 years of experience with data structures and algorithms.
* 3 years of experience working in a complex, matrixed organization involving
cross-functional, or cross-business projects.
* 2 years of experience with AI Algorithms, Machine Learning Algorithms, Search
Quality, and Search Infrastructure.
* 1 year of experience in a technical leadership role.
* Experience developing accessible technologies.

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.

We're seeking an engineer to contribute to DeepRank, one of the most impactful
systems in Google Search, responsible for ranking web results. In this role, you
will be involved in designing and optimizing this complex system. A key aspect
of this role is to harness the newly available capabilities of Gemini, Google's
advanced AI models, to push the boundaries of search relevance and quality. This
is part of an exciting transition to build the next generation of DeepRank on
the modern Gemax Prod framework.

With your technical expertise you will manage project priorities, deadlines, and
deliverables. You will design, develop, test, deploy, maintain, and enhance
software solutions.

Join Google Search AI and work at the intersection of industry leading
global scale. We apply breakthrough research, leveraging models like Gemini, to
launch high-impact products that help billions ask any question and get things
done. If you want to drive the future of AI in Search and work with world-class
experts to deliver tangible, global impact and continuous innovation, this is
the place.Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

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

RESPONSIBILITIES:

* Write and test product or system development code. Address research and
engineering problems at the edge of GenAI with potential for immediate
real-world user impact at massive scale for current and emergent query
streams.
* Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
* Conduct applied research figuring out research developments best suited to
solve open-ended problems. Build end-to-end ML systems spanning data,
modeling, evaluation, and serving and search scale.
* Build a comprehensive understanding of the search stack, evaluation metrics,
query sets, and philosophy of improving search quality and presentation.
Partner closely with appropriate teams throughout Search, GDM, Research, Core
ML, and Platforms.

About Google

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