Research Scientist, Neuroscience and Machine Learning

Job Description

Qualifications

Minimum qualifications:

• Ph.D. in Computer Science, Computational Neuroscience, related technical areas, or equivalent practical experience.
• Experience in developing and applying analysis methods in biology or other data-intensive disciplines.
• Experience with general purpose programming languages (e.g., C, C++, or Python).

Preferred qualifications:

• Experience with large-scale, distributed data processing.
• Familiarity with techniques in 3D image analysis and probabilistic modeling.
• Familiarity with modern machine learning libraries such as TensorFlow and JAX.
• Contributions to research communities and efforts, including publishing papers in journals and peer-reviewed conferences (e.g., ICLR, NeurIPS, Cosyne, Nature, Science, eLife, Neuron, etc.)

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.

Our team pursues research that advances understanding of the structure and function of the brain. The team has produced synapse-resolution reconstructions, developed and published algorithmic advances, and collaborated extensively with various organizations.

Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.

Responsibilities

• Participate in research related to data-intensive neuroscience problems.
• Develop solutions for reconstruction and validation of large datasets of neuronal activity.
• Develop modeling methods that combine structural and functional measurements.
• Collaborate with laboratories and publish research.

Location

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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