Research scientist, Computer Vision and Machine Learning

Key Skills

C++, JAX framework, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience with Machine Learning libraries (e.g., TensorFlow, PyTorch, JAX).
• Experience in C++ or Python.

Preferred qualifications:

• Experience in research agendas in the fields of computer vision and machine learning.
• Experience driving an autonomous research agenda from conception to implementation.
• Ability to work on high impact research agendas in the fields of computer vision and machine learning.

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

• Manage state of the art computer vision and machine learning research.
• Develop state of the art autonomous learning models for next generation AI systems.
• Contribute to research topics including cross-modal learning from textual and audio inputs. Publish papers at global conferences.