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  3. AI Scientist/Engineer Intern (LG AI Research Center, Ann Arbor)

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

LG AI Research
Posted 3 months ago, valid for 8 days
Location

Ann Arbor, MI 48113, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • LG AI Research Center in Ann Arbor, established in March 2022, focuses on developing responsible artificial intelligence for technological advancements and scientific discovery.
  • The position involves leading impactful research projects, developing new datasets and algorithms, and publishing scientific articles.
  • Candidates should have experience in natural language understanding, reinforcement learning, or multimodal learning, with a preference for those who have published in major machine learning conferences.
  • The role requires strong programming skills, proficiency in deep learning frameworks, and a motivation to contribute to significant research ideas.
  • The salary is competitive, and candidates are expected to have a minimum of 3 years of relevant experience.

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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By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

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