Research Scientist
Job Summary
Job Description
- PhD in Computer Science or related field
- Scientific publications
- Coding experience (Python, JavaScript, R, Java, or C++)
- Experience with visual language models
- Lead production of ML technology
- 2+ years coding experience (Python, JavaScript, R, Java, or C++)
- Experience in machine learning, computer vision, and deep learning
- Experience in a research lab setting
- Experience with the "research to product" pipeline
9 skills required
Job Details
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Coding experience in Python, JavaScript, R, Java, or C++.
Preferred qualifications:
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- Experience in machine learning, computer vision, and deep learning, in particular around visual language models or large multimodal models, proven by publications or research artifacts.
- Research experience in the field of visual language models for scene, objects, and text understanding.
- Experience working in an industry or academic research lab, focusing on multiple aspects of the "research to product" pipeline.
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.
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.
Responsibilities
- Develop innovative computer vision and machine learning technology for applications in the field of XR and beyond.
- Lead productionization of innovative computer vision and ML technology in the area of visual language models for scene, object, and text understanding, including development and optimization of the ML model, integration in a mobile framework, hillclimb, and evaluation.
- 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.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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