입사지원자 개인정보 수집·이용 및 제공 동의서
LG AI연구원(이하 “회사”)은 입사지원자의 개인정보 수집·이용, 고유식별 정보의 수집·이용, 제3자 제공에 관한 내용을 관계 법령에 따라 아래와 같이 고지하오니 동의해 주시기 바랍니다.
개인정보를 제공받는 자 | 이용목적 | 제공하는 개인정보 항목 | 보유 및 이용 기간 |
|---|---|---|---|
그린하우스 | 채용 플랫폼 사용 | 이력서 등 입사지원 시 제출한 개인정보 | 지원일로부터 3년 |
※ 입사지원자은 상기 개인정보의 국외 제3자 제공에 관하여 동의하지 않을 권리가 있습니다. 다만, 국외 제3자에게 제공되는 정보는 입사지원자의 채용업무 수행에 필수적인 항목들로 해당 정보를 제공하지 못할 경우 정보 부재로 인해 입사 지원에 제약사항이 발생할 수 있습니다.
LG AI연구원에 제출하신 정보는 채용을 위한 검증 목적으로만 이용되며, 그 이외의 목적으로는 이용되지 않습니다.
Research Scientist (Global AI Center, Ann Arbor)
About Global AI Center, Ann Arbor
Global AI Center, Ann Arbor was established in March 2022 and tackles cutting-edge research questions to make the world a better place. Our mission is to develop impactful and responsible artificial intelligence that benefits technological innovations, scientific discovery, and all of humanity. We encourage open communication, collaboration, diverse perspectives, and a growth mindset. We not only hire "well-established experts" in the relevant field of AI but also look for "high-potential candidates" who can ramp up quickly on topics aligned with our mission and values. We do not discriminate against our candidates on the basis of nationality, sex, age, religion, disability, or other legally protected statuses.
Responsibilities
Build and lead your own research agenda.
Develop new datasets, models, architectures, and algorithms in machine learning.
Collaborate on impactful research projects.
Publish scientific articles.
Demonstrate research outcomes to internal and external users.
Topics
1. Natural Language Understanding
- Large language models
- Reasoning
- Dialog systems
- Text generation (Conditional generation, Factual generation)
- Curating and building large-scale high-quality datasets/benchmarks
2. Reinforcement learning
- RL + Language
- Compositional task generalization
- Hierarchical reinforcement learning/planning/imitation learning
- Meta/multi-task/transfer reinforcement learning
- Offline reinforcement learning
3. Multimodal learning
- Vision-language grounding
- Video understanding
- Deep generative models (images, videos, text, etc.)
4. Neural combinatorial optimization
Qualifications
Strong research/publication track record.
Expertise in state-of-the-art research topics and methods.
Proficiency with deep learning frameworks.
Nice to have a Ph.D. degree with publications in major machine learning conferences.
Nice to have strong mathematical insights, large-scale modeling experience, dataset publications, and a desire to make breakthroughs.
Recruiting Process
Application Review → Coding Test → Technical Interview (Online) → Culture Fit Interview (Onsite)
The process is subject to change and we will contact you separately if you are selected to move forward with the recruiting process.
지원시 문제가 있을 경우 careers@lgresearch.ai 로 문의 부탁드립니다.