AI Scientist/Engineer Intern (LG AI Research Center, Ann Arbor)
LG AI Research · Ann Arbor, MI
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Jul 21, 2026
Ann Arbor, MI
Jul 22, 2026
What this job asks for AI summary
A research role focused on advancing machine learning across areas such as large language models, reinforcement learning, multimodal learning, and neural combinatorial optimization. Day-to-day work involves developing new datasets, models, architectures, and algorithms, as well as publishing findings and presenting results to internal and external audiences. Suited to both established researchers and high-potential candidates with strong deep learning fundamentals.
Senior level · Ann Arbor, MI · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 25 people in the Ann Arbor, MI area plausibly meet what this posting asks for (data scientists). range 15–35
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $115,158 (middle half $79,848–$132,767).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting is for an AI Research Scientist role at LG AI Research Center in Ann Arbor, MI. No explicit title or seniority level is stated, but the expectation to 'lead/contribute to impactful research projects' and publish at major ML conferences suggests a mid-to-senior researcher profile.
The only concrete technology gate in the Qualifications section is 'deep learning frameworks and strong programming skills' — no specific framework (e.g. PyTorch, TensorFlow) is named, so 'deep learning' is used as the canonical skill name.
Research topic areas (NLP/LLMs, RL, multimodal learning, neural combinatorial optimization) are listed as focus areas rather than hard requirements; they are captured as preferred skills reflecting the team's research agenda.
Publications in major ML conferences and strong mathematical/large-scale modeling experience are explicitly flagged as 'Nice to have' in the posting.
No compensation, degree requirement, or remote-work policy is stated. Employment type is inferred as full-time based on the research center context, but is not explicitly stated in the posting.
SOC confidence is Medium: the role is primarily research-oriented (15-2051 Data Scientists) but the emphasis on developing models, architectures, and algorithms with strong programming skills also overlaps with 15-1252 Software Developers.
Read the full posting
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