Senior Software Engineer, AI/ML, Google Workspace

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience programming in Python or C++.
• 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 one or more of the following: Speech/audio (e.g.,

technology duplicating and responding to the human voice), reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

• 3 years of experience with end-to-end Machine Learning (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.
• 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.

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: $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.

• 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.

• Triage product or system issues and debug/track/resolve by analyzing the

sources of issues and the impact on hardware, network, or service operations

and quality.

• Design and implement solutions in one or more specialized ML areas, leverage

ML infrastructure, and demonstrate expertise in a chosen field.