Senior Software Engineer, AI/ML, Google Labs

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

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

languages.

• 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, 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.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Design and build Minimum Viable Tests (MVTs) and functional prototypes to

rapidly de-risk novel AI agent concepts. Execute targeted technical spikes to

prove core feasibility and overcome critical architectural hurdles within

strict, 4-week exploratory sprints.

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

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

solutions for design, coding and product building.

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

responsibilities of Software Engineering, Product Management, Research, Data

Science and UX Research.

• Prioritize learning and prototyping over perfect code. Design clever,

high-speed tests too validate User Value, Strategic Value, and Feasibility,

generating raw signal before committing to heavy infrastructure.

• Analyze early technical and user signals to evaluate the project viability.