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Senior/Staff Applied AI, Machine Learning Engineer

Full-time🇰🇷 Seoul

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.

How Harper Works

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  • Show interest in a role you like.

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  • Harper connects you with the company.

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  • Keep the door open while you work.

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  • FAQ

    Are these real job opportunities?

    Yes. These are roles companies have asked Harper to help with, and Harper is in direct contact with them.

    Am I applying directly here?

    No. Harper uses information the company has shared privately to assess how well the role fits you. If it looks like a good fit, Harper may recommend you to the company first or ask whether you'd like to move forward with the role first. If you accept, Harper helps make the connection right away. For now, tell Harper which role interests you. Harper will review it first and prepare what it needs to introduce you well.

    How is this different from applying directly to the company?

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    Will my information be shared with the company?

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    Does a person review my profile along the way?

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