Research Scientist, Computer Vision and Machine Learning

Key Skills

Java Programming, Design, Python Programming, C++, SQL, Aartificial intelligence, Machine learning techniques, Data Mining, Deep Learning, Natural Language Processing (NLP), Algorithms, NeurIPS, Large scale data processing, Data Analysis

Job Description

Minimum qualifications:

• PhD degree in Computer Vision, Machine Learning, or equivalent practical experience.
• Experience with publishing at conferences/journals in Machine Learning/Computer Vision (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML/IJCV/PAMI).
• Experience programming with C++ and/or Python.
• Experience developing Machine Learning/deep learning models for Computer Vision tasks..

Preferred qualifications:

• Experience leading a research agenda on one of the following topics: object detection and tracking, text understanding from images, or multimodal embeddings for visual tasks.
• Experience in the field of Computer Vision and Machine Learning (including internships).
• Experience with collaborating or leading an applied research project.

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.

The Augmented Reality (AR) Semantic Perception team develops core technology around 3D artificial intelligence and machine learning (ML).

As a Research Scientist, you will join development projects in the space of models and algorithms for object detection and tracking, text understanding from images, multi-modal embeddings for visual tasks, and deep learning for video processing.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.

Responsibilities

• Develop innovative computer vision and machine learning technology for applications in the field of augmented reality and beyond.
• Lead the technology development process from the initial idea to product launch.
• Communicate with product-facing and cross-functional teams to support the productionization aspects of the technology/algorithm.
• Publish the results of the work at scientific venues.