Research Scientist, Machine Learning

Key Skills

Aartificial intelligence, C++, Computer Vision (CV), Deep Learning, Generative AI, Machine learning techniques, Python Programming

Job Description

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience in computer vision, machine learning, and deep learning.
• Experience with graphics and imaging research.
• Experience coding in C++ or Python.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:

• Experience owning and initiating research agendas.
• Experience in digital humans or related topics.
• Experience in computer vision and machine learning algorithms.
• Experience in coding.

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 addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

• Help in growing research business across teams by sharing research trends and best practices within the community.
• Develop next generation algorithms for Augmented Reality (AR)/Virtual Reality (VR) perception.
• Develop next generation technologies to capture, model, animate, simulate, and synthesize digital humans.
• Collaborate cross-functionally with other engineers, researchers, and technical artists, and product teams.
• Design, implement, evaluate, and maintain next generation technologies for AR/VR.