AI Research Engineer - NLP

Remote
CompanyULSE
LocationRemote
CategoryData & AI
Seniority-
WorkplaceRemote
Posted2026-08-22
Viaworkday

Description

Job Description

We have an exciting   opportunity for   a n   AI Research Engineer   at   UL Research Institutes , within our Digital Safety Research Institute (DSRI) . Th is is   a REMOTE opportunity

The   AI Research Engineer   advances   Digital   Safety mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety assessment systems, with a focus on large language models (LLMs), natural language processing (NLP) safety. This role contributes to the development of rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights that improve the safety assessments of frontier AI systems.

UL   Research Institute s

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   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 Fire Safety   team s   who conduct the research   required   to produce that knowledge   and   put it   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,   algorithms , 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.

What   you’ll   learn   and   achieve:

As the   AI Research Engineer,  you   will play a key role in the rapid growth of   UL   as you:

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Studies   incident reports implicating LLMs or NLP algorithms and hypothesize root causes.

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Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and troubleshooting skills.

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Codes or trains text analytics needed to run NLP or LLM assessments. Prepares written   component   documentation for technical audiences.

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Publishes   assessment   research results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.

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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 :

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Demonstrates   mastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.

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Solves   AI assessment research challenges independently and efficiently.

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Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale

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Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.

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Begins developing relationships within the broader safety community

Professional education and experience requirements for the role include:

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Ph.D. in computer science or related field, focused on NLP or LLMs.

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3 years of relevant experience, post Ph.D.

About   UL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagement   are   nonprofit organization s   dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data,   convene   experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability,   ultimately enhancing   societal well-being.

To learn more, visit   our websites   UL.org   and   ULSE.org .

Salary Range:
$98,562.21-$135,523.04

Pay Type

Salary