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Staff Software Engineer, Workspace Search Quality

Karnataka, India (On-site)

Staff Software Engineer, Workspace Search Quality

1 Month ago • 8-13 Years • Artificial Intelligence

About the job

7 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

algorithms

deep-learning

data-structures

innovation

networking

cross-functional

Job Description

As a Staff Software Engineer for Workspace Search Quality, you will play a pivotal role in shaping how users interact with Workspace Search across Gmail, Drive, Chat, and other products. You will lead the design and implementation of innovative search solutions, leveraging cutting-edge machine learning techniques to enhance search relevance and user experience. This involves understanding natural language queries, developing and deploying machine learning models, and collaborating with cross-functional teams to deliver on a strategic roadmap. You will also be responsible for mentoring junior engineers, establishing evaluation frameworks, and driving the adoption of new technologies to continually improve search quality.

Must have:

Bachelor's degree or equivalent practical experience
8 years of experience in software development
5 years of experience testing and launching software products
3 years of experience with software design and architecture
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow)
Strong understanding of data structures and algorithms
Experience with artificial intelligence, deep learning, or natural language processing

Good to have:

Master's degree or PhD in Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, or a related technical field
Experience launching and scaling user-facing, large-scale, production quality systems
Excellent software development skills, with the ability to design, implement, and optimize high-performance systems in a complex, distributed environment
Passion for machine learning technologies and background in ML/NLP/Quality

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

Preferred qualifications:

Master's degree or PhD in Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, a related technical field, or equivalent practical experience.
Experience launching and scaling user-facing, large-scale, production quality systems.
Excellent software development skills, with the ability to design, implement, and optimize high-performance systems in a complex, distributed environment.
Passion for machine learning technologies, and background in ML/NLP/Quality.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 are building intuitive and effective searching and finding experiences by enabling search journeys that bridge across Workspace products (e.g., Gmail, Chat, Drive, etc.). We have an ambitious roadmap for making Workspace Search excellent, including the usage of advanced Machine Learning (ML) technologies, significant user-facing changes, revamping our evaluation framework and more. We are embarking on a major shift from token based search to embedding based search to support some of the cutting edge use cases (e.g., natural language, multi modal, etc).

As an Engineer for the Workspace Search Quality, you will have the opportunity to make a significant impact on the way people use Workspace Search across Gmail, Drive, Chat, etc.

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.

Responsibilities

Lead the design and implementation of search solutions, from understanding natural language queries to developing and deploying machine learning models that significantly improve search quality.
Drive innovation by exploring and integrating cutting-edge machine learning techniques, algorithms, and architectures to enhance search relevance and user experience.
Own the technical goal for critical areas of Workspace Search, collaborating with cross-functional teams to define and deliver on a strategic roadmap.
Mentor and guide a team of engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
Establish and refine evaluation frameworks and metrics to measure and track progress against key performance indicators.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.