Tech AI (Artificial Intelligence) Research Scientist I/II/Sr. - open rank

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About Tech AI

Tech AI, the AI Hub at Georgia Tech, brings together hundreds of thought leaders, researchers, doers, and teachers across campus, working together to advance AI - using it responsibly to create new products, educate students of all ages and backgrounds, and develop tomorrow's AI workforce. For additional info about Tech AI, visit Harnessing the Power of AI | Tech AI, the AI Hub at Georgia Tech

About Center for Scientific Software Engineering (SSE Center)

The Scientific Software Engineering (SSE) Center at Georgia Tech is a new effort that is part of the Virtual Institute for Scientific Software (VISS). VISS was launched by Schmidt Sciences to address the need for training and educating software engineers, and the SSE center at Georgia Tech is focused on developing new methodologies for improving high-performance scientific codes and for training tomorrow's software engineers. For more information about SSE, please visit Scientific Software Engineering Center Engineering - The Next Innovations in Scientific Software

Atlanta, GA

Tech AI (the AI Hub at Georgia Tech) in collaboration with the Center for Scientific Software Engineering (SSE Center) at Georgia Tech (One of the four inaugural Virtual Institute for Scientific Software Centers) is looking to build a team of software professionals (with varying degrees of industry experience) who are excited about working in a highly dynamic and research-oriented development environment.

Individuals on the team will work on a variety of different ground-breaking research projects. Some projects may require deep engagement (potentially leading to co-authorship on scientific publications) while others may resemble a more casual consulting engagement. Some projects will require solutions developed from the ground up and others may involve refactoring existing solutions to conform to industry standards. Individuals who are adaptable, curious, and invested in continuous growth will do well on this team and in this environment. We are seeking talent with experience and knowledge to fill multiple open positions.

• Work with the other scientists and engineers to develop and deploy high-quality, innovative, and complete AI (Artificial Intelligence) software products.
• Lead and manage several crucial proof-of-concept software applications from start to finish.
• This scope of the software products shall include, but not be limited to, the software design (visualizations, dashboards, and animations), engineering (including AI data pipelines, digital twins, organization, process analysis, software optimization, data manipulation, and executing, evaluating, or retraining the models as needed), deployment, documentation, maintenance, and testing of these applications.
• Manage, review, maintain, and contribute to the code repositories. This will also involve reorganizing or refactoring the code into intuitive structures, keeping it user-friendly, and improving the code's efficiency.
• Be the subject matter expert, provide guidance to the team, and implement the best practices for the team's AI engineering software and infrastructure.
• Develop adaptable and reusable software designs (object-oriented code), in part or whole, for an array of different research projects.
• Regularly meet with the team to discuss their ideas, application, and vision for the software, incorporating them into the software design and implementation.
• Collaborate, support, and assist the team in developing the software and develop solutions to remove any barriers impeding progress.
• Mentor Georgia Tech's students, staff, faculty, and approved non-Georgia Tech personnel, improving everyone's skill set.
• Help the team members troubleshoot code errors, bugs, bottlenecks, performance, optimization, deployment, and operational issues. Assist the team in resolving any other technical, design, or code issues.
• Actively protect GT's and GT's partners confidential information. Continually improve and build-up the AI research community, inside and outside of Georgia Tech. This could involve writing or being a part of journal publications or white papers, creating publicly or privately available codes, apps, and documentation, attending or hosting training seminars, and attending or representing the GT team or GT's partners at national conferences.
• Support any other assigned tasks that help accomplish the team's goals and mission.

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 (https://www.policylibrary.gatech.edu/faculty-handbook/3.2.1-research-faculty-hiring-and-promotion-guidelines)

Research Scientist I

• A bachelor's degree in computer science, Electrical Engineering, or related/relevant field and three (3) years of relevant full-time experience after completion of that degree

Research Scientist II

• A masters degree in Computer Science, Electrical Engineering, or related/relevant field and three (3) years of relevant full-time experience after completion of that degree, or
• A masters degree in Computer Science, Electrical Engineering, or related/relevant field and five (5) years of relevant full-time experience after completion of a bachelor's degree, or
• A Doctoral degree in Computer Science, Electrical Engineering, or related/relevant field.

Senior Research Scientist

• A masters degree in Computer Science, Electrical Engineering or related/relevant field and seven (7) years of relevant full-time experience after completion of that degree, or
• A masters degree in Computer Science, Electrical Engineering, or related/relevant field and nine (9) years of relevant full-time experience after completion of a bachelors degree, or
• A Doctoral degree in Computer Science, Electrical Engineering, or related/relevant field and four (4) years of relevant full-time experience after completion of a bachelors degree.

• Experience in Linux (Red Hat, Fedora, Debian, Ubuntu, etc.), Mac, and Windows Operating Systems utilizing the command line environment.
• Experience utilizing version control software (GitHub, GitLab, etc.) and some of their modern software engineering practices and tools (e.g., CI/CD, automated testing, bug and issue tracking, feature requests, pull requests, code reviews, automated cloud platform interactions, etc.).
• Experience with at least one (1) item from each part below:
  • Mobile operating systems: Android and iOS with the command line environment
  • Other programming languages: VBA, Latex, JSP, CSS, HTML, etc.
  • Machine Learning software: TensorFlow, TensorBoard, Optuna, RayTune, MLow, Pytorch, Scikit-learn, etc.
  • Cloud computing platforms, concepts, and software: Kubernetes, Azure, Google Cloud Platform, and Amazon Web Services (AWS), Redis, RabbitMQ
  • High-Performance Computing (HPC) clusters, concepts, and software: Slurm or Torque schedulers
• Two (2) or more successful deployments for each of following deliverable products, generated from complex, large, and continuously expanding data sets (Note: A project that contained multiple deliverables can be counted multiple times, one for each applicable deliverable):
  • Continuous data pipelines for AI applications
  • Digital twins
  • Executed, evaluated, or retrained Artificial Intelligence / Mathematical Optimization (AI/MO) models.
  • Automated dashboards
  • Detailed visualizations and animations
  • Graphical User Interfaces (GUIs)
• Experience supporting software solutions in a customer-facing environment.
• Experience cultivating a team culture that is transparent, safe, and committed to excellence.

• An understanding of scientific software.
• A broad understanding of the software development lifecycle and how tools and best practices accelerate processes.
• A commitment to quality and experience with automated testing.
• Ability to successfully navigate large organizations and outside partnerships.
• Appreciation for the differences between industry and academia and how to leverage the strengths of both.
• Ability to communicate effectively with individuals and audiences of varying technical ability.
• Ability and desire to work well within a team.
• Desire to mentor and be mentored by others.

For further details, please contact Stephen Rosner at srosner6@gatech.edu.

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: https://www.usg.edu/policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia (usg.edu).

The candidate of choice will be required to pass a pre-employment background screening. http://policylibrary.gatech.edu/employment/pre-employment-screening.