Our values
- Trust, the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.
- Ambition, we commit, we move fast, with tenacity and efficiency.
- Collective, team first, low ego.
- Kindness, at the heart of every interaction.
The offer
📍 Location: Paris (city center), on-site with 1 to 2 days WFH
🕐 Start: as soon as you are available
💼 Contract: full-time (CDI)
💰 Compensation: €90k to €120k + bonus + equity (BSPCE)
✅ Your missions
As Lead ML Engineer, you build and lead our ML team. You report to Thomas (CTO & co-founder).
Our ML team is central: it works with every product team on the hardest parts of the pipeline that turns full company data ecosystems into anonymized digital twins and training environments for the labs.
- Own ML across the pipeline: detection of sensitive entities in text and images, entity resolution and the knowledge graph that keeps every pseudonym consistent across all tools, and document understanding to enrich our datasets.
- Automate quality: automated evaluation of anonymization and dataset quality, so delivery can scale without adding manual checks.
- Lead and grow the team: a few ML engineers today, around 6 by mid 2027. Priorities, 1:1s, hiring, and the technical bar.
- Stay hands-on: you prototype, code and ship to production yourself.
- Prepare what comes next with Thomas: RL environments and tasks built on our data, and fine-tuning open-source models on company data.
- Keep a close eye on research: read the papers, know where the frontier labs are heading, and turn it into our roadmap.
Your first months: you start embedded in one of our product teams for 1 to 3 months to learn the pipeline from the inside, then you take the lead of the ML team.
Why join us
- Entrepreneurial adventure: founding impact, live the early days of an ambitious company at the front line of the AI revolution.
- Backed by Y Combinator, join just as we accelerate.
- Offices in central Paris.
- Perks: Alan health insurance (mutuelle), 50% Navigo covered.
✏️ Recruitment process
We move fast.
- A 30 min intro call with Grégoire (co-founder)
- A 60 min technical deep dive with Thomas (CTO & co-founder): your track record, technical judgment, how you lead
- A technical ML case, presented to Thomas and an ML engineer
- A final fit interview with 2 founders
- Reference calls