Staff Software Engineer, Learning Frontiers

Google LLC; Ionia (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in New York, NY, USA is seeking a Staff Software Engineer for Learning Frontiers to drive early-stage ideas and rapid prototyping of AI-powered learning experiences grounded in proven learning science.

You will collaborate across Google's surfaces to scale validated concepts, shaping both technical and product direction and owning end-to-end implementation from concept to live experiments using multimodal models and pedagogy insights.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• 8 years of experience programming in Python, TypeScript/JavaScript, C++, Java, Kotlin, or Go.
• 5 years of experience testing and launching software products, and 3 years of experience with design/architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Drive early-stage idea development and rapid prototyping of AI-powered learning experiences.
• Lead cross-team collaborations to scale validated concepts across Google surfaces.
• Develop research-backed hypotheses and measure impact through live experiments.
• Design and build agentic features and architectures for scalable products.
• Influence product direction from concept through iteration.

Skills

Python

TypeScript/JavaScript

C++

Java

Kotlin

Go

Education

Bachelor's degree in Computer Science or related field

Job description

Staff Software Engineer, Learning Frontiers

Location: New York, NY, USA

Experience Level: Advanced

About the Job

Team Learning Frontiers's mission is to reimagine learning in the agentic era with frontier and multimodal models by building novel student and teacher experiences grounded in proven learning science. Operating like a nimble 0-to-1 startup within Google, we ideate, prototype, and de-risk step-change experiences across the student journey, backed by research from our Learning Sciences and Pedagogy team. From interactive audio-visual activities to collaborative, gamified learning environments, we partner across Google's flagship product surfaces and product areas to graduate and scale our successful experiments into products that fundamentally impact how students learn.

Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world's information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what's next. We focus our work to add the most value for users to enable learning for school, work, and life. We believe everyone can and should have access to quality learning experiences to reach their full potential.

**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.

Minimum Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience programming in Python, TypeScript/JavaScript, C++, Java, Kotlin, or Go.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows (e.g., prompt engineering, agent development, evaluation suites, synthetic data generation).

Preferred Qualifications

• Experience in learning and education, cognitive science, psychometry, or learning analytics.
• Experience building or leveraging rapid prototyping tech stacks (e.g., cloud-native development, Vercel).
• Multimodal experience across modalities such as audio or video.
• Demonstrated track record thriving in 0-to-1 startup or experimental lab environments, building and owning methodical LLM evaluation suites beyond surface-level proofs of concept.
• Interdisciplinary or hybrid background combining Computer Science with Education, Cognitive Science, Learning Sciences, or Business.

Responsibilities

• Drive early-stage idea development, blue-sky exploration, and rapid prototyping of novel AI-powered learning experiences, developing research-backed hypotheses and evaluating and measuring impact through live experiments and user studies.
• Explore and push the boundary of AI capabilities to build advanced tools for students and teachers, supported by learning science and pedagogical principles.
• Partner and lead collaborations across Google's flagship product surfaces and product areas to graduate and scale validated educational concepts.
• Influence the team's technical and product direction from zero-to-one concept ideation through iterative experimentation.
• Scope, design, and build agentic features across various frameworks and infrastructure.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for "all roles unless stated otherwise in the job posting."

Locations: New York, NY, USA

Experience Level: Advanced - Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.