# AI Scientist/Engineer Intern (LG AI Research Center, Ann Arbor) at LG AI Research

> United States · Intern · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Algairesearch%3A4130830005 (read 2026-11-12).

## Facts (observed)

- Company: [LG AI Research](https://alderhq.app/companies/lg-ai-research)
- Location text: Ann Arbor, Michigan, United States; Global AI Center, Ann Arbor
- Where it can be done from (inferred): United States (evidence: "Location: Ann Arbor, Michigan, United States; Global AI Center, Ann Arbor")
- Posted: 2022-11-09 (1464 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.lgresearch.ai/careers?gh_jid=4130830005
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 433): p25 $62k, median $83k, p75 $114k

## Description (the employer's text)

### About LG AI Research Center, Ann Arbor

LG AI Research 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

- Lead/contribute to impactful research projects.
- Develop new datasets, models, architectures, and algorithms in machine learning.
- Publish scientific articles.
- Demonstrate research outcomes to internal and external users.
Topics

1. Natural Language Understanding

- Large Language Models
- Reasoning
- Dialogue 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

- Motivation to lead/contribute to impactful research ideas.
- Familiarity with state-of-the-art research topics and methods.
- Proficiency in deep learning frameworks and strong programming skills.
- Nice to have publications in major machine learning conferences.
- Nice to have strong mathematical insights, large-scale modeling experience and a desire to make breakthroughs.
### Recruiting Process

- Application Review → Coding Test → Technical Interview (Online)
\* The process is subject to change and we will contact you separately if you are selected to move forward with the recruiting process.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Algairesearch%3A4130830005 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.