Research Engineer, Vision Language Models

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 jobGoogle'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.

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.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .