Careers

job details

Back to jobs search

Jobs search results

3,409 jobs matched
Back to jobs search

Research Engineer, Vision Language Models

GoogleZürich, Switzerland

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.

Preferred qualifications:

  • PhD Degree in Computer Science.
  • Experience in productionizing machine learning solutions.
  • Experience in machine learning, computer vision, and deep learning, especially in video and image understanding, supported by publications or research artifacts.
  • Experience working in an industry or academic research lab, focusing on multiple aspects of the "research to product" pipeline.

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.

The team develops novel core technologies around computer vision and machine learning, in particular customized visual language models, scene and object understanding, 3D computer vision, high-level text understanding, 3D reconstruction and simultaneous localization and mapping (SLAM), object detection and tracking. The activity spans the whole range from research to product. The team is composed of Research Scientists and Software Engineers with a focus on 3D scene reconstruction, object and text understanding and Generative AI. The team serves multiple perception-related products at Google, with a particular focus on AR products and applications.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.

Responsibilities

  • Develop innovative computer vision and machine learning technology for applications in the field of augmented reality and beyond (e.g.,object understanding, high level text understanding, video understanding).
  • Guide the integration of advanced visual language models into consumer products. Work together with research teams to improve performance and improve user experience.
  • Lead the development and integration of innovative solutions involving Gen AI models, integrate them into products matching the production requirements.
  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.
Google apps
Main menu