人工智能自然语言处理工程师
AI Research Engineer - NLP
职位描述
UL Research Institutes 在我们的数字安全研究学院（DSRI）中有一个令人兴奋的AI研发工程师职位。这是一个远程工作机会。
AI研发工程师通过设计、开发和评估先进的AI安全评估系统，推动数字安全使命的实现，重点在于大型语言模型（LLMs）和自然语言处理（NLP）安全。该职位将为制定严谨的评估方法、可扩展的评估能力以及基于研究的见解做出贡献，从而提升前沿AI系统的安全评估。
UL Research Institutes：
在UL Research Institutes（ULRI），我们拓展安全科学的边界，以创造一个更安全和可持续的世界。一个多世纪以来，我们研究创新的意外后果，设计缓解风险的解决方案，并与学术界、科学家、制造商和各行业的政策制定者分享我们的研究成果。我们识别关键的安全和可持续性问题，提出严峻的问题，因为我们相信，更安全的世界始于知识。
与我们一同打造更安全、更稳固和可持续的未来。加入我们，与我们的消防安全团队一起开展研究，以产生这些知识并将其付诸实践。
数字安全研究学院：
数字安全研究学院（DSRI）致力于解决全球数字生态系统中的未解安全风险和新兴威胁。我们旨在通过创建新的数字安全生态系统，帮助人们防范个人设备和隐私、算法以及虚假信息的威胁。
DSRI致力于分享数字安全见解，与关键利益相关者合作，并提供广泛的宣传和教育，以帮助支持全球更安全的数字环境。
你将学到和实现什么：
作为AI研发工程师，你将在UL的快速发展中发挥关键作用，包括：
- 研究涉及LLMs或NLP算法的事件报告，并假设根本原因。
- 进行NLP或LLM设计的文献和开源审查，计划并创建NLP或LLMs评估，扩展数字安全最佳实践。应用技术、诊断和故障排除技能。
- 编写或训练文本分析代码，以运行NLP或LLMs评估。为技术受众准备书面组件文档。
- 使用数字安全实验室工具在线发布评估研究结果，并在同行评审期刊上发表。
查看英文原文
Job Description
We have an excitingopportunity foranAI Research EngineeratUL Research Institutes, within our Digital Safety Research Institute (DSRI). This isa REMOTE opportunity
TheAI Research EngineeradvancesDigitalSafety 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.
ULResearch Institutes:
AtUL Research Institutes(ULRI),weexpand the boundaries of safety science tocreate a more secure and sustainable world. Formore thana century, we have studied the unintended consequences of innovation, designed solutions to mitigateriskand shared our findings with academia, scientists, manufacturers, and policymakers across industries.Weidentifycritical safety and sustainability issues, askingtoughquestions 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 Safetyteamswho conduct the researchrequiredto produce that knowledgeandput itintopractice.
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.
Whatyou’lllearnandachieve:
As theAI Research Engineer, youwill play a key role in the rapid growth ofULas you:
- Studiesincident reports implicating LLMs or NLP algorithms and hypothesize root causes.
- 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.
- Codes or trains text analytics needed to run NLP or LLM assessments. Prepares writtencomponentdocumentation for technical audiences.
- Publishesassessmentresearch results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.
- Works closely with team members to ensure that all processes areaccurateand 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:
- Demonstratesmastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.
- SolvesAI assessment research challenges independently and efficiently.
- Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale
- Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.
- Begins developing relationships within the broader safety community
Professional education and experience requirements for the role include:
- Ph.D. in computer science or related field, focused on NLP or LLMs.
- 3 years of relevant experience, post Ph.D.
AboutUL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagementarenonprofit organizationsdedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data,conveneexperts 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 enhancingsocietal well-being.
To learn more, visitour websitesUL.organdULSE.org.
Salary Range:
$98,562.21-$135,523.04Pay Type:
SalaryOriginally posted on Himalayas