Lead AI Research Scientist II - Digital Safety Research Institute
UL Research Institutes
Summary
The Lead AI Research Scientist II directs advanced research across specialized areas including natural language processing (NLP); computer vision (CV), signal processing (SP), and AI reasoning. This role leads AI safety research including literature surveys, AI safety experimental design, AI/software engineering, data acquisition, data analysis, and documentation necessary to execute comprehensive experimental studies.
Job description
What you'll learn and achieve
- Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms – focusing on testing systems enabling the most public harm.
- Lead and contribute to the development of competitive research proposals, including using the Heilmeier criteria to define scope, methodology, and deliverables, to secure funding for independent AI test and evaluation research programs.
- Serve as a principal investigator for Digital Safety's independent test and evaluation research programs in their specialty area.
- Apply intensive and diverse knowledge of technology and AI/software engineering concepts to execute and manage specific research programs.
- Analyze experimental results to determine causes of problems and develop solutions, and evaluates technical specifications and factors related to process or design objectives.
- Plan, design, and complete initial and follow-up procedures as needed to validate the testing and evaluation results.
- Plan, design, and execute research challenges, using and improving DSRI's evaluation tools, to lead their AI specialty community to solve problems of importance to transition partners.
- Propose and host workshops at leading research conferences in AI safety where research challenge winning methods and their comparative results are discussed to move the field forward in producing results that can have impact in public safety.
- Stay ahead of changing technologies in the field by reading papers and scientific publications and attending academic conferences.
- Contribute to and/or lead other department specific and cross-functional initiatives.
What makes you a great fit
- Demonstrated general knowledge of AI and software engineering disciplines.
- Demonstrated experience securing research funding through competitive proposal development.
- Demonstrated ability to write and win proposals for leading research workshops.
- Demonstrated ability to attract invitations to give keynote presentations.
- Excellent communication skills required.
- Advanced AI engineering, software engineering, and data analysis skills.
- Ability to collaborate effectively with research scientists, engineers, team members, and external partners to deliver research outcomes.
- Ability to publish research results at leading academic conferences.
Professional education and experience requirements
PhD in Computer Science with a focus in the applicable AI area of specialty plus 8 or more years of directly related research experience; or Master's degree in Computer Science (with a focus in the applicable AI area of specialty) plus 10 or more years of directly related research experience; or Bachelor's degree in Computer Science (with a focus in the applicable AI area of specialty) plus 12 or more years of directly related research experience.
Requirements
- PhD in Computer Science with a focus in the applicable AI area of specialty plus 8 or more years of directly related research experience
- Master's degree in Computer Science (with a focus in the applicable AI area of specialty) plus 10 or more years of directly related research experience
- Bachelor's degree in Computer Science (with a focus in the applicable AI area of specialty) plus 12 or more years of directly related research experience
- Demonstrated general knowledge of AI and software engineering disciplines
- Demonstrated experience securing research funding through competitive proposal development
- Demonstrated ability to write and win proposals for leading research workshops
- Demonstrated ability to attract invitations to give keynote presentations
- Excellent communication skills required
- Advanced AI engineering, software engineering, and data analysis skills
- Ability to collaborate effectively with research scientists, engineers, team members, and external partners to deliver research outcomes
- Ability to publish research results at leading academic conferences
Benefits
- Bonus compensation
- Medical, Dental & Vision
- Life insurance
- 401(k) matching up to 5%
- Additional 4% retirement contribution
- Paid time off
- Holiday pay
- Sick days
- Volunteer days
- Flexible working arrangements
Company overview
UL Research Institutes is a leading independent safety science organization with global reach, established in 1894 as part of the UL enterprise. Dedicated to exploring vital questions related to public safety, the organization senses and acts on risks to humanity and our planet through rigorous scientific research. As one of three distinct organizations within the UL enterprise alongside UL Solutions and UL Standards & Engagement, UL Research Institutes focuses on discovery-driven investigations across multiple scientific disciplines. The organization conducts research in electrochemical safety science, fire science, chemical and environmental safety, data science, and emerging technologies. Their work supports the development of practical safety standards and policies while addressing urgent safety problems including environmental pollution, artificial intelligence inequities, and sustainable technology deployment. With a global network of scientists and safety professionals, UL Research Institutes defines the safe and sustainable use of materials ranging from legacy devices to new technologies, advancing safety science for the greater good through objective, evidence-based research.