Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in C++ or Python, or 1 year of experience with an advanced degree.

• 2 years of experience with data structures or algorithms.

• 2 years of experience in computer vision and deep learning, particularly in 3D reconstruction and 3D scene understanding (e.g., Gaussian Splatting, Neural Radiance fields), or a related field.

• Experience contributing to research communities including publishing at conferences (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC).

Preferred qualifications:

• PhD in Computer Science with an emphasis on Machine Learning, or a related technical field.

• Experience working in an industry or academic research lab, focusing on multiple aspects of the research to product pipeline.

• Experience contributing to research in the field of 3D surface reconstruction and semantic scene understanding.

• Ability to work separately and as part of a team.

• Excellent communication and presentation skills.

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.

In this role, you will work in a research team which develops novel core technologies around computer vision and machine learning, in particular scene and object understanding, 3D computer vision, text understanding, 3D reconstruction, Simultaneous Localization and Mapping (SLAM), object detection, and tracking. You will focus on 3D reconstruction and semantic scene understanding. You will be responsible for applying computer vision and deep learning knowledge, conducting cutting-edge research in the field of 3D reconstruction and scene understanding, and for bringing this technology to products in the space of augmented reality.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

• Develop innovative computer vision and machine learning technology for applications in the field of augmented reality and beyond.

• Productionalize innovative computer vision and machine learning technology in the area of 3D reconstruction and scene understanding, including the design and implementation of such algorithms at mobile devices.

• Establish and maintain relationships with key stakeholders and provide updates on the advancements of the project, ensuring alignment between research, engineering, and product.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.