Senior/Staff Applied AI, Machine Learning 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 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
- Deploy high-business-impact use cases into production across industries — you own the outcome.
- Take state-of-the-art GenAI from consumer products to heavy industrial use cases.
- Lead the most complex customer projects — advanced fine-tuning, SOTA LLM applications — and contribute to the open-source codebases (inference, fine-tuning).
- Run pre-sales with CEOs/CTOs, data scientists, and engineers, and translate frontier research into something they can ship.
- Improve the models with the research and product teams based on what you see in the field.
Who You Are
- 7–10+ years as a hands-on IC (data scientist or software engineer) on AI products. PhD/Master's in AI/DS — or self-made.
- You've fine-tuned LLMs and shipped advanced RAG / agentic use cases.
- Deep understanding of ML and LLM internals, plus cloud infra and how to deploy AI in production.
- You've built or deployed products with a large-scale user base.
- You explain complex systems simply, to any audience.
- Fluent in English.
- Bonus: open-source LLM contributions; Forward Deployed Engineer, Staff ML Engineer, or Staff Data Scientist background.
Why Join
- Own frontier deployments end to end, on open-weight models the whole field builds on.
- Be the senior technical anchor for the Seoul team.
- Direct collaboration with a global research + product org.
- Low-ego, ship-fast culture. Competitive comp + equity.