Research Scientist, AI - Google Careers

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience in Python or C++ for rapid prototyping and production-grade development.
• Experience in software engienering.

• PhD in Computer Vision, Machine Learning, Computer Science, or a related technical field.
• Experience developing and optimizing on-device machine learning models for constrained hardware platforms.
• Deep domain expertise in 3D computer vision, spatial perception, or real-time spatial tracking.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

• Prototype, develop, and deploy advanced spatial perception and visual tracking algorithms for Android XR devices.
• Design low-latency capabilities that enable AI models to accurately interact with physical objects in real time.
• Optimize on-device machine learning algorithms to achieve high precision within strict power, thermal, and compute constraints.
• Partner with cross-functional teams to translate foundational computer vision research into intuitive visual interactions.
• Advance the long-term technical roadmap for spatial AI across current and next-generation XR wearable platforms.

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 .

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.

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.