Harper

About The Job

The client is hiring for this role. Harper is an AI career agent that works for you — the candidate. Skip the application form: just talk to Harper, and it puts strong candidates straight in front of the client — plus other frontier roles worth your time.

 

Job Title

Applied AI, Machine Learning Engineer

 

Salary

Competitive base + Equity — top-tier comp at a world-leading AI lab

 

Location

Seoul (On-site)

 

Company Description

One of the world's most important AI labs — European, building open-weight, open-source frontier models that go head-to-head with the best closed labs. They train the models, not wrap them. Teams across France, the US, UK, Germany, and Singapore — now building in Seoul. Low-ego, ship-fast, research-meets-production.

 

What You'll Do

* Take state-of-the-art GenAI from research into production — consumer to industrial use cases with real business impact.
* Own customer onboarding on the models and APIs: prompting, evals, fine-tuning, and production integration.
* Ship the hard stuff — complex fine-tuning, agentic and RAG pipelines — and contribute to the open-source codebases (inference, fine-tuning).
* Sit in pre-sales calls and explain the tech straight, no hand-waving.
* Feed what you learn in the field back into the models with the research and product teams.

 

Who You Are

* 2+ years as a hands-on IC (data scientist or software engineer) on AI products.
* PhD or Master's in AI / data science.
* You've fine-tuned LLMs and built advanced RAG or agentic use cases.
* Deep grasp of the concepts and algorithms under ML and LLMs — not just the API.
* Strong Python; deep learning with PyTorch; agent frameworks (LangChain) and vector DBs.
* You can make a complex model decision legible to non-experts.
* Fluent in English and Korean.
* Bonus: open-source LLM contributions; Forward Deployed / Customer / Sales Engineer, Solutions Architect, or Technical PM background.

 

Why Join

* Work on open-weight models the whole field builds on — and ship them into production.
* Take frontier research to Korean enterprises, hands-on.
* Direct collaboration with a global research + product team.
* Low-ego, ship-fast culture. Competitive comp + equity.

Machine Learning

Research

Software Development

Data Science

Python

Data

Algorithm

Deep Learning

PyTorch

Team collaboration

Langchain

Vectorization

Open Source Software

Decision Making

Applied AI / ML Engineer at a frontier open-source AI lab