Software Engineer III, AI/ML, Google Labs

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in one or more programming

languages, or 1 year of experience with an advanced degree.

• 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 end-to-end Machine Learning (e.g., model

deployment, model evaluation, data processing, debugging).

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, or in a related technical field.

• 2 years of experience with data structures and algorithms.
• 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.

Labs is a group focused on incubating early-stage efforts in support of Google’s

mission to organize the world’s information and make it universally accessible

and useful. Our team exists to help discover and create new ways to advance our

core products through exploration and the application of new technologies. We

work to build new solutions that have the potential to transform how users

interact with Google. Our goal is to drive innovation by developing new Google

products and capabilities that deliver significant impact over longer

timeframes.

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:

• Apply deep expertise in agentic systems including planning, memory, context

management, tool-use, and loops to rapidly prototype and evaluate novel

solutions for user simulation, playtesting and making software testable.

• Exercise strong product judgment to build "right-sized," reliable

infrastructure for agent serving-prioritizing velocity and MVP readiness

while maintaining practical standards for latency, quality, and cost.

• Design benchmarks to measure success and perform quality work for the agentic

stack, and constantly analyze, iterate and pivot with fast experiments.

• Operate with a rolled-up mindset by seamlessly blending the responsibilities

of Software Engineering, Product Management, Research, Data Science and UX

Research teams.

• Thrive in a fast-moving, 0-to-1 space. Turn open-ended product and technical

questions into clear implementations, working closely with an agile team to

test ideas and build solutions.