Research Software Engineer

Research Software Engineer Location: Google, Mountain View, CA, USA

Experience Level: Advanced

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

ApplyMinimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 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.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience with Large Language Models.
• Experience with Natural Language Processing.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

As a part of the AI and Research Accelerator, a specialized team within the newly formed AI Innovation and Research organization, you will translate the latest breakthroughs from DeepMind into AI/ML experiences for Google's highest-priority Platforms and Devices (P&D) initiatives.

In this role, you will work alongside a team of ML specialists dedicated to highly impactful projects with the potential to reach billions of users, architecting solutions and directly guiding product teams from concept to launch. You will gain unparalleled visibility, driving deeply impactful work that frequently takes center stage at major events like Google I/O and Made by Google, while helping lead the next generation of AI-driven innovation.

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: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Oversee the end-to-end technical architecture and drive technical consensus across teams.
• Design high-level systems and build scalable, reusable ML infrastructure that serves as a foundation for multiple product teams.
• Establish the standard for engineering excellence by steering architectural reviews, mentoring engineers on system design, and identifying strategic opportunities to accelerate innovation across the entire Platforms and Devices ecosystem.
• Cultivate deep partnerships with product teams and researchers at DeepMind, serving as the primary technical voice and engineering liaison for the team, while translating state-of-the-art AI research into tangible user experiences in products by guiding engineers through integrations, resolving technical ambiguities, and aligning cross-functional stakeholders on a unified technical goal.
• Lead the end-to-end development of AI features by orchestrating the team's engineering efforts under tight, high-visibility deadlines.

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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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations

• Google, Mountain View, CA, USA

Experience Level: Advanced

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