Research Scientist IV - Digital Safety Research Institute
About The Position
We have an exciting opportunity for a Research Scientist IV at UL Research Institutes. This is a remote-based opportunity. The Research Scientist/Engineer IV advances Digital Safety’s mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety systems across specialty areas including natural language processing (NLP), computer vision (CV), signal processing (SP), and AI reasoning. This role creates advanced AI tool components and applies these skills to develop scientifically rigorous assessments of AI systems. UL Research Institutes: At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge. Build a safer, more secure, and sustainable future with us. Join us and work with our Digital Safety teams who conduct the research required to produce that knowledge and put into practice. Digital Safety Research Institute: The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world’s digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithm, and disinformation threats by working to create a new digital safety ecosystem. DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.
Requirements
- Demonstrates mastery-level knowledge of AI safety in their specialty area and how their assessment work integrates into safer AI systems for users.
- Solves engineering research challenges independently and efficiently through integrated safety testing.
- Engages team members and leads them through the problem-solving process in their specialty areas.
- Independently creates digital safety system components that range in novelty and complexity across different digital safety areas.
- PhD in Computer Science with a focus in the applicable AI area of specialty plus 4 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 6 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 10 or more years of directly related research experience.
Responsibilities
- Conduct literature and open-source reviews AI in their specialty area.
- Design, plan, and develop AI software utilizing digital safety best practices.
- Apply technical, diagnostic, and troubleshooting skills to resolve complex AI and software engineering challenges.
- Design, plan, and create statistically meaningful evaluations of AI systems in their specialty area.
- Prepare written component documentation for technical audiences.
- Works closely with team members to ensure that all processes are accurate and technically sound
- Provides technical guidance and mentorship junior-level team members on work-related assignments and projects, as necessary.
- Serves as a resource by junior-level colleagues for guidance and best practices in the research area.
- Leads a team to execute distinct AI or software engineering workstreams.
- Looks ahead to research and tool development next steps and forecasts end-user needs.
- Engages in standards technical committees.
- Develops and maintains relationships within the broader AI and safety research community.
- Performs other duties as assigned.
Benefits
- bonus compensation
- comprehensive medical, dental, vision, and life insurance plans
- 401k matching structure of up to 5% of eligible pay
- additional 4% into retirement saving fund after your first year of continuous employment
- paid time off, including vacation, holiday, sick, and volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
