Applied Research Engineer ($200K–$350K + Equity)
About The Job
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Job Title
Senior/Staff Applied Scientist / Research Engineer
Salary
Competitive base + Equity: top-tier comp at a world-leading AI lab
Location
Seoul (Hybrid)
Company Description
A European AI lab building open-weight, open-source frontier models that go head-to-head with the best closed labs. In September 2026 it raised a €3B Series D led by Samsung, with Nvidia participating, at a €21B (about $24B) valuation. 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
- Run pre-training, post-training, and deployment of SOTA models on clusters with thousands of GPUs. You don't panic at OOM errors or when NCCL refuses to talk.
- Build SOTA models across modalities (text, image, speech) and invent the methods to push them further.
- Generate and curate data for pre- and post-training, own the evals, and make the model beat expectations.
- Build the tooling and frameworks for data generation, training, evaluation, and deployment.
- Tackle complex use cases with agents and RAG pipelines, and run research projects directly with client research teams.
Required Qualifications
- Expert with PyTorch or JAX. You write clean, high-performance, fault-tolerant Python.
- You dive into a huge codebase and find your way with little guidance.
- You don't need a roadmap to start, and you don't need a manager to ship.
- Low-ego, collaborative, and always learning.
- A track record of success in personal projects, industry, or academia.
- Fluent in English and Korean.
Nice to Have
- A PhD or Master's in a relevant field (Math, Physics, ML), or an exceptional record from another background.
- Research range across agents, multimodality, robotics, diffusion, or time-series.
- Contributions to a large, widely used codebase.
- Top-venue publications.
Why Join
- Train frontier, open-weight models on serious compute: thousands of GPUs and real research freedom.
- Publish, open-source, and ship. Research that actually reaches production.
- Work with a world-class global research org, from Seoul.
- Low-ego, ship-fast culture. Competitive comp + equity.