---
title: 'AI Scientist/Engineer Intern (LG AI Research Center, Ann Arbor) at LG AI Research'
canonical: 'https://feeny.ai/job/ai-scientist-engineer-intern-lg-ai-research-center-ann-arbor-lg-ai-research-ann-nv6mtvd64v0p'
type: 'job'
last_seen: '2026-09-11'
---

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

- **Company:** LG AI Research
- **Location:** Ann Arbor Michigan, United States
- **Posted:** 2022-11-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/lgairesearch/jobs/4130830005

## Job description

## 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

1. Reinforcement Learning

- RL + Language
- Compositional task generalization
- Hierarchical reinforcement learning/planning/imitation learning
- Meta/multi-task/transfer reinforcement learning
- Offline reinforcement learning

1. Multimodal learning

- Vision-language grounding
- Video understanding
- Deep generative models (images, videos, text, etc.)

1. 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.

## About LG AI Research

## Company Overview
- **One-liner**: LG AI Research is the corporate AI research lab of the LG Group, dedicated to solving complex real-world problems across LG’s diverse businesses through cutting-edge AI research in vision, language, data intelligence, and materials science.
- **Entity Type**: Private (Subsidiary of LG Group, a publicly traded conglomerate; LG Corp ticker: 003550 on KOSPI)
- **Headquarters**: Seoul, South Korea (multiple offices: Yeouido LG Twin Tower, Magok LG Science Park, Magok D&O)
- **Founded**: December 2020
- **Founders**: Established by LG Group; Chief Scientist: Honglak Lee (also Professor at University of Michigan)

## Core Business
- Primary industry/industries: AI Research & Development, Research Services
- Target customers: Primarily internal – LG Group affiliates (LG Electronics, LG Chem, LG Display, LG U+, etc.); also collaborates externally with academic institutions and publishes research.
- Mission or purpose statement: "Advancing AI for a better life" by solving the LG Group’s most challenging problems and conducting fundamental research for future breakthroughs.

## Products & Services
LG AI Research does not sell commercial products; it operates specialized research labs that deliver models, platforms, and intelligence capabilities to LG businesses and the broader AI community.

- **[EXAONE Lab]**: Large Language Model (LLM) research and development, including the EXAONE series of models.
- **[Vision Lab]**: Computer vision research for applications in manufacturing, quality inspection, autonomous systems, etc.
- **[Language Lab]**: Natural language processing, conversational AI, multilingual understanding.
- **[Data Intelligence Lab]**: Data-driven decision-making, predictive analytics, and business optimization.
- **[Materials Intelligence Lab]**: AI for new material discovery, chemistry, and energy research.
- **[Bio Intelligence Lab]**: AI applications in drug discovery, life sciences, and protein design.
- **[Advanced Agent Lab]**: Agentic AI, autonomous systems, and robotics evaluation & benchmarking.
- **[Physical Intelligence Lab]**: Embodied AI, robotics, and physical world interaction.
- **[Superintelligence Lab]**: Long-term fundamental research toward general intelligence.
- **[Platform & Infra Team]**: MLOps, LLM inference infrastructure, and internal AI platforms.
- **[AI Market Insights Team]**: Business intelligence and market analysis for AI strategy.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (wholly owned by LG Group)
- **Key Metric**: Total headcount of 255 employees (as of mid-2025), with +23.7% YoY growth
- **Notable Investors/Partners**: LG Group affiliates (LG Electronics, LG Chem, LG Display, LG U+, etc.); academic partners including University of Michigan, KAIST, Seoul National University, Yonsei University.
- **Growth Signals**: Headcount growth of 23.7% YoY; expansion to global offices in Ann Arbor (USA), Poland, and Canada; active hiring across multiple research and engineering roles; hosting events like "LG AI Tech CONNECT" in New York; regular publications at top global conferences.

## Competitive Advantages
- **Real-world data & problems**: Unparalleled access to diverse, large-scale industrial data from LG’s electronics, chemical, telecom, battery, and life science businesses.
- **End-to-end impact**: Researchers see their work directly applied to actual business outcomes within LG affiliates.
- **Top-tier infrastructure**: State-of-the-art compute resources, extensive datasets, and latest equipment.
- **World-class talent**: Collaboration with leading academic institutions and a team of highly cited researchers.
- **Autonomous culture**: Culture 3.0 emphasizes researcher autonomy, flextime without core hours, self-approval PTO, and remote work options.

## Strategic Focus
- **Fundamental research**: Continued investment in foundational AI areas (LLMs, agentic AI, scientific foundation models, materials intelligence).
- **Global expansion**: Growing research presence in North America (Ann Arbor) and Europe.
- **Industry-specific AI**: Deepening AI capabilities for LG’s key sectors (chemicals, displays, batteries, new drugs).
- **Talent attraction**: Actively recruiting top AI researchers and engineers through internships, residencies/postdocs, and full-time positions.

## Why Work Here
- **Autonomous work environment**: Flextime with no core hours, self-approval for paid time off, remote work options, and commuter shuttle service.
- **Health & wellness**: Comprehensive medical expense coverage (self & family), annual physical exams, psychological counseling (6 sessions/year), health management allowance.
- **Personal growth**: Generous self-development budget, book allowance, latest work equipment (laptop, monitors), access to vast data and infrastructure.
- **Life support**: Welfare points, family event support, childcare expenses, admission gifts, resort/villa support, separate summer vacation days.
- **Culture**: "Culture 3.0" – a continuously evolving, researcher-centric culture with unlimited snack bars, subsidized meals, and a focus on work-life balance.
- **Global opportunities**: Offices in Seoul, Ann Arbor (USA), Poland, and Canada, with potential for international collaboration and relocation.

## Sources
1. [lgresearch.ai](https://www.lgresearch.ai/)
2. [linkedin.com](https://www.linkedin.com/company/lgairesearch/)
3. [greenhouse.io](https://job-boards.greenhouse.io/lgairesearch)
4. [careers.lgresearch.ai](https://careers.lgresearch.ai/c5a2b8bd-6129-4482-a68e-a7dc0d300676)

## Other roles at LG AI Research

- [Research Internship - Physical AI](https://feeny.ai/job/research-internship-physical-ai-lg-ai-research-gangseo-gu-seoul-south-sw26vgp1sfyc) — Gangseo-Gu Seoul South, South Korea
- [Data Engineer Internship - Physical AI](https://feeny.ai/job/data-engineer-internship-physical-ai-lg-ai-research-gangseo-gu-seoul-south-8rnk0axd97mf) — Gangseo-Gu Seoul South, South Korea
- [클라우드 보안 담당자](https://feeny.ai/job/lg-ai-research-gangseo-gu-seoul-south-1vhmg11mt26x) — Gangseo-Gu Seoul South, South Korea
- [AI Software Engineer - Self-driving Laboratory](https://feeny.ai/job/ai-software-engineer-self-driving-laboratory-lg-ai-research-gangseo-gu-seoul-35fzmsa40bt8) — Gangseo-Gu Seoul South, South Korea
- [Software Engineer - Backend](https://feeny.ai/job/software-engineer-backend-lg-ai-research-gangseo-gu-seoul-south-ak5sgeryghtz) — Gangseo-Gu Seoul South, South Korea
- [AI 사업개발 변호사(EXAONE Nexus)](https://feeny.ai/job/ai-exaone-nexus-lg-ai-research-gangseo-gu-seoul-south-4xrbfwg87qtx) — Gangseo-Gu Seoul South, South Korea
- [Research Scientist/Engineer - Agent Memory](https://feeny.ai/job/research-scientist-engineer-agent-memory-lg-ai-research-gangseo-gu-seoul-south-rj7g6pgvtfrp) — Gangseo-Gu Seoul South, South Korea
- [AI Safety & Policy Specialist](https://feeny.ai/job/ai-safety-policy-specialist-lg-ai-research-gangseo-gu-seoul-south-7heb5vxdzvyg) — Gangseo-Gu Seoul South, South Korea
- [Enterprise Customer Success Manager](https://feeny.ai/job/enterprise-customer-success-manager-lg-ai-research-gangseo-gu-seoul-south-1qkv53ccnp9r) — Gangseo-Gu Seoul South, South Korea
- [AI 사업개발 전문가(국방분야)](https://feeny.ai/job/ai-lg-ai-research-gangseo-gu-seoul-south-x7ybm7m9vvjr) — Gangseo-Gu Seoul South, South Korea