Research Scientist, Gemini for Android XR Devices

Google Inc.; München; Vor Ort; EUR 106.000 - 109.000; Vollzeit

Benefits dieser Stelle

Bonus target

Equity

Benefits

Zusammenfassung

Google is seeking a Research Scientist to advance Gemini for Android XR devices, focusing on computer vision, generative AI, and egocentric video understanding. You will drive experiments, develop models, and collaborate across data collection and engineering teams to push the boundaries of XR-powered AI experiences.

The role emphasizes publishing findings, contributing to the research community, and delivering robust, scalable solutions for next-generation XR products, with a strong emphasis on

Qualifikationen

• PhD in Computer Science or related field.
• Experience with Computer Vision, Generative AI, or Large Language Models.
• One or more scientific publication submission(s) to conferences, journals, or public repositories (CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
• Experience in machine learning, specifically for Generative AI and video applications.

Aufgaben

• Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance.
• Work on the integration of Gemini into XR products; design and implement customization layers for immersive XR experiences.
• Highlight model limitations and improve performance in key XR areas like spatial and temporal understanding.
• Develop data collection, filtering and pre-processing pipelines to improve data quality for egocentric video understanding.
• Establish and maintain relationships with main stakeholders and provide regular updates on project progress.

Kenntnisse

Computer Vision

Generative AI

Publications

Machine Learning

Ausbildung

PhD in Computer Science

Jobbeschreibung

Research Scientist, Gemini for Android XR Devices

Mid

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

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; Munich, Germany.

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience with Computer Vision, Generative AI, or Large Language Models.
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
• Experience in machine learning, specifically for Generative AI and video applications.

Preferred qualifications:

• 2 years of coding experience.
• 1 year of experience owning and initiating research agendas.
• Experience working on multimodal understanding problems, including image or video understanding tasks.
• Experience working with egocentric data and egocentric problems.
• Experience working in an industry or academic research lab, focusing on multiple aspects of the "research to product" pipeline.

About the job

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.

In this role, you will partner with the Gemini modeling team to make Gemini a powerful AI assistant for existing and upcoming XR devices. Your work will cover multiple aspects of model development and improvement. You will collaborate with data collection teams to source, annotate, and format valuable data, and work to improve overall model performance, robustness, and reliability through advanced training, deployment, and customization techniques. You will possess expertise in developing and improving LLMs for video understanding, ideally with an egocentric focus. This expertise can stem from academic research or direct industry experience.

For decades, the computing revolution has reshaped our world driven by

About the job

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.

In this role, you will partner with the Gemini modeling team to make Gemini a powerful AI assistant for existing and upcoming XR devices. Your work will cover multiple aspects of model development and improvement. You will collaborate with data collection teams to source, annotate, and format valuable data, and work to improve overall model performance, robustness, and reliability through advanced training, deployment, and customization techniques. You will possess expertise in developing and improving LLMs for video understanding, ideally with an egocentric focus. This expertise can stem from academic research or direct industry experience.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €106000 - €109000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
• Work on the integration of Gemini into XR products. Design and implement customization layers to enable the next generation of immersive XR experiences powered by Gemini.
• Work together with research teams to highlight model limitations and improve performance in key areas critical for XR applications like spatial and temporal understanding.
• Develop expertise on the full data collection, filtering and pre-processing pipeline to contribute with freshly sourced data to improve the quality of models in egocentric video understanding applications.
• Establish and maintain relationships with main stakeholders and keep recurring updates on the advancements of the project, making sure that their expectations are aligned to the research and engineering work.

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.

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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.