Senior/Staff Applied Scientist / Research Engineer
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
Senior/Staff Applied Scientist / Research Engineer
Salary
Competitive base + Equity — top-tier comp at a world-leading AI lab
Location
Seoul (Hybrid)
Company Description
An Nvidia-backed European AI lab, valued at ~$14B — one of the world's most important, 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
- 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/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.
Who You Are
- 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 — you just do. You don't need a manager — you just ship.
- Low-ego, collaborative, and always learning.
- A track record of success — personal projects, industry, or academia.
- Fluent in English and Korean.
- Great if you have: a PhD/Master's in a relevant field (Math, Physics, ML) — or you're exceptional 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, 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.