Staff Software Engineer, Google Workspace, AI/ML

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading Machine Learning (ML) design and optimizing ML

infrastructure (e.g., model deployment, model evaluation, data processing,

debugging, fine tuning).

• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.

PREFERRED QUALIFICATIONS:

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams

and setting technical direction.

• 3 years of experience working in an organization involving cross-functional,

or cross-business projects.

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.

Gmail Trust and Compliance Infrastructure's mission is to build and maintain

infrastructure to keep Gmail and Chat data secure, and to enable rapid

development of GenAI based features in Gmail, Workspace and across Google.

The team builds services and pipelines that ensure safety, compliance and the

processing of all of Gmail data at scale. Gmail is one of the largest consumer

products in the world. This large scale brings unique issues for any technology

we use. The team builds and maintains batch and incremental processing

infrastructure that can reliably process all of Gmail data within tight Service

Level Objectives (SLOs), to power key features for our customers.

AI will change the future of work in profound ways, and our products— Gmail,

Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From

pre-computed summaries for email threads, summaries for meetings, and videos

created from a document using lifelike AI avatars, our AI opportunity is huge.

Our mission is to meaningfully connect people so they can create, build, and

grow together and as part of the team you can build how productivity tools

should work 5-10 years into the future. You will work with model builders

(Google DeepMind), work with exceptional leaders, and have the ability to impact

billions of users across the world.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Work on next generation batch processing infrastructure for Gmail in powering

new user experiences.

• Work on Workspace wide convergence projects to bolster security and trust

posture across the board.

• Work on processing and security technologies to shape the secure data

consumption for Gmail and overall workspace.

• Identify and solve full stack issues with in-depth collaboration with core

infrastructure teams towards next-generation batch processing and data

validation initiatives.

• Define best practices to measure, monitor and improve data security,

compliance for Gmail and chat to meet our trust and compliance requirements.