UL Solutions yra pasaulinė saugos mokslo bendrovė, padedanti organizacijoms vertinti ir valdyti saugą, tvarumą, saugumą, kokybę, riziką bei atitiktį teisės aktų reikalavimams. Jos paslaugos ir programinė įranga padeda konsultavimo, sveikatos priežiūros, logistikos ir kitų sričių įmonėms kurti produktus, veikti sudėtingose rinkose ir reaguoti į kintančius reikalavimus. Bendrovės veikla apima tokias sritis kaip elektrifikacija, mobilumas ir tvarumas, daugiausia dėmesio skiriant pagalbai organizacijoms priimant pagrįstus sprendimus per visą produkto ir veiklos gyvavimo ciklą.
Lead AI Research Scientist II – Digital Safety (Remote, United States)
Lead independent AI safety testing and evaluation programs for UL Research Institutes, with a focus on identifying and reducing risks from AI systems. The role combines research leadership, proposal development, experimentation, and technical analysis across digital safety domains.
Aprašymas
- Direct multidisciplinary research spanning natural language processing, computer vision, signal processing, and AI reasoning
- Lead AI safety studies from literature review and experimental design through engineering, data collection, analysis, and documentation
- Create and manage independent testing and evaluation programs designed to reduce public harm from AI systems
- Develop competitive research proposals using Heilmeier criteria to establish scope, methods, and deliverables
- Act as principal investigator for Digital Safety independent testing and evaluation initiatives
- Use AI and software engineering expertise to deliver and oversee research programs
- Interpret experimental findings, diagnose issues, devise solutions, and assess technical specifications
- Develop and carry out procedures that verify testing and evaluation outcomes
- Create research challenges and improve them using DSRI evaluation tools
- Organize workshops at major AI safety conferences and present comparative research findings
- Track emerging technologies through academic papers, scientific publications, and conferences
- Support department initiatives and cross-functional projects
Reikalavimai
- Broad working knowledge of artificial intelligence and software engineering
- Proven success obtaining research funding through competitive proposals
- Experience writing successful proposals for prominent research workshops
- Record of earning invitations to deliver keynote presentations
- Strong written and verbal communication abilities
- Advanced capability in AI engineering, software engineering, and data analysis
- Ability to work effectively with researchers, engineers, colleagues, and external collaborators
- Ability to publish findings at leading academic conferences
- PhD in Computer Science with a concentration in the relevant AI specialty and at least 8 years of related research experience; or
- Master’s degree in Computer Science with a concentration in the relevant AI specialty and at least 10 years of related research experience; or
- Bachelor’s degree in Computer Science with a concentration in the relevant AI specialty and at least 12 years of related research experience
Privalumai
- Eligibility for bonus compensation
- Comprehensive medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- 401(k) matching of up to 5% of eligible pay
- An additional retirement savings contribution of 4% after one year of continuous employment
- Flexible work arrangements may be available based on the position
- Paid vacation
- Paid holidays
- Paid sick leave
- Paid volunteer leave
- Targeted programs for professional development, rewards, and recognition