UL

Research Scientist IV - Digital Safety Research Institute

UL • $119K — $163K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science focusing on AI, or equivalent experience with a Master's or Bachelor's degree and extensive research background.
  • 5-10 years of relevant research experience in AI-related fields.
  • Mastery-level knowledge of AI safety and integration into AI systems.
  • Proven ability to solve engineering challenges independently.
  • Experience in developing software within AI domains such as NLP, CV, or signal processing.

Responsibilities

  • Conduct literature reviews and analyze open-source resources in AI specialties.
  • Design and develop AI software aligned with digital safety best practices.
  • Apply technical skills to address complex AI and software engineering challenges.
  • Create statistically meaningful evaluations of AI systems.
  • Document technical components for various audiences.
  • Collaborate with team members to ensure technical accuracy.

Benefits

  • Remote work flexibility.
  • Opportunity to engage with AI safety standards and technical committees.
  • Potential for mentorship roles within the team.
  • Access to a network of professionals in AI and safety research.
Full Job Description
Job Description

We have an exciting opportunity for a Research Scientist IV atUL 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.

What you'll learn and achieve:

As the Research Scientist IV, you will play a key role in the rapid growth of UL as you:
  • 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


What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • 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.
  • 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.


Professional education and experience requirements for the role include:
  • 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.


Salary Range:
$119,260.28-$163,982.88
Pay Type:
Salary

About UL

UL is a global safety certification company headquartered in Northbrook, Illinois. It was founded in 1894 and has been providing safety testing, inspection, and certification services for over 125 years. UL operates in over 100 countries and has more than 14,000 employees worldwide. The company's mission is to promote safe living and working environments by advancing safety science. UL's services cover a wide range of industries, including consumer products, industrial equipment, building materials, and more.
Learn more about UL
Size
14,700 employees
Industry
Founded
1900

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