×
Register Here to Apply for Jobs or Post Jobs. X

AI Scientist​/Engineer Intern ( Center, Ann Arbor

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: LG AI Research
Apprenticeship/Internship position
Listed on 2026-10-15
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: AI Scientist/Engineer Intern (LG AI Research Center, Ann Arbor)

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
  • Natural Language Understanding
    • Large Language Models
    • Reasoning
    • Dialogue Systems
    • Text Generation (Conditional Generation & Factual Generation)
    • Curating and building large-scale high-quality datasets/benchmarks
  • Reinforcement Learning
    • RL + Language
    • Compositional task generalization
    • Hierarchical reinforcement learning/planning/imitation learning
    • Meta/multi-task/transfer reinforcement learning
    • Offline reinforcement learning
  • Multimodal learning
    • Vision-language grounding
    • Video understanding
    • Deep generative models (images, videos, text, etc.)
  • 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.

    To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
    (If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
     
     
     
    Search for further Jobs Here:
    (Try combinations for better Results! Or enter less keywords for broader Results)
    Location
    Increase/decrease your Search Radius (miles)
    0
    200
    Filters
    Education Level
    Experience Level (years)
    Posted in last:
    Salary