Research Engineer, Vision Language Models
Google Switzerland GmbH
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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.
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.
- 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.
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.
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.
- 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.