Software Engineer III, AI/ML, Platforms and Devices

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience programming in Python or C++.
• 1 year 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.

• 1 year of experience with ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with Android development.
• 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. The

Platforms and Devices team encompasses Google's various computing software

platforms across environments (desktop, mobile, applications), as well as our

first party devices and services that combine the best of Google AI, software,

and hardware. Teams across this area research, design, and develop new

technologies to make our user's interaction with computing faster and more

seamless, building innovative experiences for our users around the

world.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.

• 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.

• Implement solutions in one or more specialized ML areas, utilize ML

infrastructure, and contribute to model optimization and data processing.