Georgia Tech is seeking an experienced machine learning (ML) researcher to lead the development and deployment of an ML system integrating real-time multi-modal sensor processing, activity recognition, and natural language interaction to pioneer new approaches for advanced interactive AI systems.
Requirements
- A Master's degree in computer science, engineering, information technology or related field, and three (3) years of relevant full-time experience after completion of that degree, or
- A Master's degree in computer science, engineering, information technology or related field, and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
- A Doctoral degree.
Responsibilities
- Evaluate current state of the art in sensor processing, activity recognition, and natural language processing algorithms
- Design, implement, and deploy advanced machine learning systems in Georgia Tech's on-campus smart home test facility
- Evaluate effectiveness of deployed systems and improve/revise as needed
- Collect data from deployed system and make available to the research community in the form of datasets
- Provide high-level expertise, advice, and technology leadership, potentially mentor student researchers
- Interact and collaborate with Institute management, multiple research groups across partner organizations, and other stakeholders
Other
- This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook
- This is not a supervisory position.
- This position does not have any financial responsibilities.
- This position will not be required to drive.
- This role is not considered a position of trust.
