Principal Research Scientist

4 days ago


Mountain View, California, United States Global Technology Associates Full time
Job Requirements

We are seeking a highly qualified Principal Research Scientist to join our team at Global Technology Associates. This is an exciting opportunity to work on cutting-edge research in AI modeling optimization and related software systems for next-gen mobility services.

The successful candidate will have a PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field, corporate lab setting with a proven track record of cross-functional collaboration and achievements, and experience with key components of IoT, edge, distributed cloud architecture with emphasis on connected systems.

As a Principal Research Scientist, you will define research goals and tasks for AI and/or data technology, work with university researchers on emergent AI technologies and algorithms, and develop innovative ideas and solutions for AI domains that deliver better performance and scalability, lower cost and reduced latency, high availability and redundancy, observability and reliability, encryption, and security.

Responsibilities:

  • Define research goals & tasks for AI and/or data technology.
  • Work with university researchers on emergent AI technologies and algorithms.
  • Research and develop (open source, commercial) AI models where these models can be used widely across multiple business services including battery, supply chain, marketing, mobility, chatgpt for support, etc.
  • Innovate and develop new technologies to optimize AI models to improve AI computing.
  • Lead discussions of multiple number of products/applications using emerging data and AI technologies.
  • Research and develop new capabilities within AI domains, ie. Federated Learning, Decentralized and Distributed Algorithms, etc.
  • Develop innovative ideas and solutions for AI domains that deliver better performance and scalability, lower cost and reduced latency, high availability and redundancy, observability and reliability, encryption, and security.
  • Conduct PoC and benchmarks AI Models to compare performance, costs, and other criteria.
  • Establish research collaborations with leading experts in universities and industry consortiums.
  • Mentor and train junior researchers.
  • Technology transfer ITL research to advanced development or valuable business contribution to the company.
  • Generate patents and publications in prestigious journals and conferences.
  • Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise.


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