Research Engineer (LG AI Research Center, Ann Arbor) at 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 engineering role focused on advancing machine learning across a broad range of areas, including large language models, reinforcement learning, multimodal learning, and deep generative models. Day-to-day work involves designing datasets, architectures, and algorithms, contributing to scientific publications, and demonstrating research outputs to internal and external stakeholders. Best suited to candidates with solid deep learning experience and an interest in publishing research.
Mid level · Ann Arbor, MI · Full-time
“or” means any one of them counts — you don't need all of them.
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 45 people in the Ann Arbor, MI area plausibly meet what this posting asks for (data scientists). range 25–65
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 (7)
The posting names no specific deep learning framework (e.g. PyTorch, TensorFlow, JAX) — only 'deep learning frameworks' generically — so the skill is captured at that level with common alternatives listed.
No overall years-of-experience requirement is stated anywhere in the posting.
An advanced degree (M.S. or Ph.D.) with publications is explicitly listed as 'Nice to have', so the degree requirement is set to None.
The research topics (NLP, LLMs, RL, multimodal learning, generative models, etc.) are framed as areas of interest rather than hard candidate gates; they are captured as preferred skills.
The role is classified as Data Scientists (15-2051) given its primary focus on ML research, modeling, and algorithm design; Software Developers (15-1252) is the runner-up given the emphasis on strong programming skills and engineering-driven research.
Seniority is assessed as Mid: the posting explicitly welcomes both established experts and high-potential candidates who can ramp up quickly, and no seniority level is stated in the title or framing.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): large-scale distributed training.
Read the full posting
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